Usually when you apply anywhere you need to fulfill some specific kind of requirements which usually include writing a formal application, letter of motivation, research proposal etc. Usually it is hard for grad students to write a crisp, clean and clear letter of motivation. To be honest, you may find several posts on the internet which do tell you how to write professionally. They are good enough to clearly tell you what points should be included, what not and many other things to learn about professional writing. Still, when I look back at my graduation days, I know even after reading many instructions I was not able to write ‘to-the-point’. According to me , writing skill is not something that you can part in binary like- ‘I write perfectly’ or ‘I can not write even a word’. It is something that you learn and get better with the the time. So, I am not going to pin-point the suggestions because you can get it many where but some ‘to-the-point’ things which you may use directly in your letter.

Ideas and main points

Start with writing down some of the main ideas, important points you would like to approach in your letter and later build around them, enrich their content; an example would be :

1. Make your goal clear; provide a short preview of the rest of the letter;
2. Why do you think that the university and the Master's program are interesting and suitable for you? ;
3. Focus on some of your strongest qualifications, past experiences (international experiences are always relevant) and qualities; organise the middle paragraphs in terms of the qualifications most relevant to the programme, you can also refer to your CV for more details;
4. Conclude by restating your interest and show appreciation for the chance to prove yourself in the letter (in some cases you can ask for a personal interview)

How to start-
Your very first line should not be just a line but an impression and reference. None would want to read you unless he knows what it is about. Just like this post. If I would not have written that it is about writing a motivation-letter, you probably would not get annoyed. So start by writing what your letter is about. It could seem like this-

Letter Of Application

Your Address And Contact Details

Receiver’s Address

Dear XYZ

I would like to apply for the…..

or

I am writing here to apply for the…

or

This is regarding your advert. published….

Then Tell Background like-
As my resume reveals, I have Bachelor`s degree from XYZ University and currently, I am…..

Be sure to signify your institution/University like-
I am privileged to obtain my postgraduate education in Bioinformatics at XXX which is known for its enriching academic ambiance where learning and research complement each other.

Then tell about your professional experience like-
Being taught by eminent faculty, I have developed a big interest and passion towards Bioinformatics and managed to have a strong foundation in ……

After that tell how this position would help you, like-
The opportunity to participate in this study would foster….

Assure them that you will make use of whatever you learn there, like-
I plan to ensure the further dissemination of the knowledge and experience gained by this opportunity in…

Close the letter with usual formality, like-
I, hereby enclose a copy of my CV/Resume (whatever it is, there is a difference we all know it) with the hope of consideration. Looking forward to hearing from you.

All the things written above is just my view. You still should see and learn which can be done by one thing and that is -reading about it. Then , please try to write yourself, do not copy /paste. Whatever is written in the post is just to have an idea about the things that should be included in the letter of motivation. You need to write accordingly with a wise choice of words.
Hope this was helpful. You may comment or ask anything if you want to.

No. CSE/14/1038

Walk in Interview for the post of JRF under TEQIP-II

SN Department – Qualification Post Graduation – Time

1 Bio-Informatics & Mathematics M.Tech Bio-informatics/M.Sc.* Maths 10.00 AM

2 Biological Sciences M.Sc.* in any branch of Biological Sciences 10.30 AM

3 Chemical Engineering M.Tech Chemical Engineering 11.00 AM

4 Chemistry M.Sc.* Chemistry 11.30 AM

5 Civil Engineering M.Tech Structure/GeoTech. /Water -Resources/Hydraulics/Environment/Transport 12.00 Noon

6 GIS M.Tech GIS/Civil 12.30 PM

7 Computer Science & Engineering M.Tech CSE/Information Security 01.00 PM

8 Electrical Engineering M.Tech Electrical Derives 01.30 PM

9 Electronics & Communication M.Tech Digital Communication 02.00 PM

10 MSME M.Tech Material Science/ Mechanical/Metallurgy 02.30 PM

11 Physics M.Sc.* Physics 03.00 PM

* M.Sc. with NET/GATE qualified

Resume along with one passport size photograph and relevant documents are required at the time of interview

Amount of Fellowship: Rs 18000/-month+ HRA

Duration: 31st Dec 2014 (End of TEQIP-II project)

Date of Interview: 7th February 2014

Venue Institute Committee Room

Advertisement:

http://www.manit.ac.in/manitbhopal/Year2014/Recruitment/Advertisement%20JRF.pdf

Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Junior Research Fellow (two positions) for the following time-bound sponsored projects as per the details given below:

PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.

Post: JRF (Two)

Job Description: Bioinformatics analysis, Software development, Programming, Text Mining, Deep Curation

Duration: The post is valid upto duration of the project. Continuation is subject to satisfactory performance.

Emoluments depends upon experience and skill sets. We will hire them on following scale:

Junior Scale- Level 1: Rs 22000 per month.

Senior Scale - Level 2: Rs 30000 per month.

Essential Qualification(s) for JRF post:

(A) A Master degree (MSc or MTech or equivalent with minimum of 55% marks) in Bioinformatics/Computer Sciences, IT, Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences or Statistics, Agriculture, Veterinary, Medicine, Pharmacy, Engineering & Technology from a recognized University/Institute and having some experience/skills in bioinformatics, programming, computational or software development work.

(B) In exceptional cases, we can also consider candidates with B. Tech or equivalent with right skill sets and experience for the post of JRFs.

Desirable:

A) Preference will be given to BINC (Bioinformatics National Certification)/DBT-BET/ICMR/ CSIR /UGC/ JRF/ NET qualified candidates. However, Non- NET qualified candidates can also apply.
B) Candidates who have worked with programing, text mining, NGS data analysis etc are encouraged to apply.
Updated resume including a cover letter (preferably by E. mail) should be mailed to bioinfocvatgmaildotcom, and Dr. Kamal Rawal at kamaldotrawalatgmaildotcom. Short listed candidates would be called for interview. No TA/DA will be paid to the candidates called for interview.

Candidate may also fill the following form:

https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform

Or

http://tinyurl.com/bioinfocv2017

Qualifications

PhD or Post-Graduated Master degree is required. Successful candidates will have some expertise in data analysis of NGS data by using methods running in R and UNIX environment. Familiarity with genome databases and browsers is required.

Application

Candidates should send a CV and a brief personal statement focusing on their skills and interests related to the research project.

Contacts

Start date: 1° April 2014
Salary on grant: 25,000 euros per year.
Contact Person (Referent): Mario Capasso
Ref. Email: mario.capasso@unina.it and achille.iolascon@unina.it
Tel: +39 081 3737889

http://statbio.github.io

If you have a license key for Modeller 8 or 9, there is no need to reregister for Modeller 9.13 - the same license key will work. (It won't do any harm to reregister if you want to, though!)

9.13 is primarily a bugfix release relative to the last public release(9.12). Major user-visible changes include:

# Modeller now includes a variety of SOAP (statistically optimized atomic potential) scores for assessing proteins, loops, and interfaces.

# The Lennard-Jones interaction energy is now artificially truncated at very short distance; this makes simulations with poor starting conditions much less likely to 'blow up'.

# model.get_insertions(), model.get_deletions() and model.loops() now have an include_termini option; if False, residue ranges that include chain termini are excluded from the output.

See the Modeller manual for a full change log: http://salilab.org/modeller/9.13/manual/node39.html

If you encounter bugs in Modeller 9.13, please see http://salilab.org/modeller/9.13/manual/node10.html for information on how to report them.

Reference:

http://salilab.org/modeller/

Address of the bookmark: https://bioconda.github.io/recipes/snakemake/README.html

Bioinformatician are not anti-social; We are just genome friendly.

Bioinformatician would love to change the biological world, but they won't give us the genetic code :P

If at first you don't succeed; call it version 1.0

The glass is neither half-full nor half-empty: it's actually have several genomes.

I'm BioGeek.

Fedup with LIPS, try God script.

Idiot, Go ahead, make my data!

Thank god, my genome just compiled.

Error message: "Out of space on genome drive:"

Shut up mobile elements, or i'll flush you out.

Never underestimate the internet bandwidth, u gotta incomplete.

Applied fuzzy logic to understand God's logic?

Warning! Overflow, delete chromosome !

Be nice to the BioGeek, for all you know they might be the next curator!

Beware of computational biologist they screw genes and protein.

Warning! Your genome is full of garbage, delete it !

Bad or missing mouse genome. Spank the cat? (Y/N)

Genome make very fast, very accurate mistakes.

Let's BLAST it.

Some genome never has transposons. It just develops random features.

Go watch CINEMA and have BLAST.

Introduction to bioinformatics is a course for biologists and clinicians that would like to learn more about the way bioinformatics is used in healthcare, biotech and pharmaceuitcal industry as well as basic research. The course covers many of the topics transformed by the emergence of big data and computational technologies. To learn more about the course, visit: https://edu.t-bio.info/course/introduction-bioinformatics/

1. Update new things continuously
As per my personal experience, it’s not always easy to work as a bioinformatician!  There are couple of reasons to say that; First computational part of biology make our life’s a little harder compared to other professional categories. The fact - for instance - that the technology cycle in the bioinformatics world is very short, the actual knowledge becomes outdated in a few months or years. Therefore, we need to learn continuously - new things get important. Second, to stay on top of things we really need the strong will to be good at our job. That's probably the most important characteristic to bioinformatician. They are usually an excellent knowledge worker with great technical abilities, and have the will to be that over decades!

2. Avoid the sentence "I did not know what to do!"
In our computational biology lab, we generally face lots of technical problems. But as you know, it's impossible to know everything to do the computational biology jobs ( Yup.. because you need diverse and multidisciplinary knowledge to understand biological problems and resolve their respective solutions), therefore it's absolutely necessary that a bioinformatician finds its way through a new topic. How I typically do that is I use google and I talk to other experts in our laboratory or online biostar community to find out what they think. "I did not know what to do!" should not be an argument for us.

3. To make oneself useful
Several time it does happen, you finished our task earlier than expected; in such cases if you have some time left then: Take a coffee and play chess; reversi, etc. In my case I take a rest. Afterwards I think about what I could do that helps the team to achieve its targets, 'cause some of my team mates probably didn't finish! (at least if I didn't met them at coffee bar !!)

4. Care for all
During my rigorous research duration; I attended several workshop organized by my University departments. I had a discussion with other research fellow, professors; I generally ask … what it really takes to make a team successful or to be a successful research leader. They always said: "Well, you need some caring people!" I think there is a lot truth in that statement. If we do not care about quality, timelines, good team culture, respectful communication (!!), clean code, if all this doesn’t matter to us, then I believe the probability is higher that we fail in research and analysis.

5. Be good with people
Because bioinformatician and computational biologist jobs typically involves to work in a (most wanted J cross-departmental!) team, therefore it's important that we're (more or less) good in dealing with other individuals. Everyone have their own strengths and weaknesses, just like us. It's important to treat all the research team mates with respect, regardless of their technical competence or contributions. Of course, sometimes people deserve a clear statement (!!!), but try to do these things one-on-one. Make sure nobody loses his face. Attend the meetings at the coffee bar; be good at table top soccer and go out once in a while to have a beer with your team. You know what I'm talking about.

At the end of a week I look back and I ask myself what I have produced. This could be paperwork, community days or (best!!) programming code. Always remember there is always a solution to a problem. Most of the times there are at least three solutions. So, don’t just blame, suggest a solution.

That's it. I am looking forward to your thoughts and comments!