Main mission:

Develop and implement strategies for whole-genome sequencing of non-model
species
Generate high-quality de novo genome assemblies using short- and long-read
sequencing technologies
Perform genome annotation and structural/functional characterization
Conduct comparative genomic analyses across related species or populations
Design and implement genome-wide association studies (GWAS) to identify
loci associated with phenotypic or adaptive traits
Integrate genomic, phenotypic, and environmental datasets
Contribute to the development of reproducible bioinformatics pipelines

Activités (Activities):

Lead the genomic component of the research project
High-molecular-weight DNA extraction optimization
Long-read genome assembly (PacBio HiFi / ONT)
Genome polishing and quality assessment (BUSCO, QUAST)
Structural and functional annotation
Variant discovery (SNPs, indels, SVs)
Population genomic analyses (FST, demographic inference)
Mixed-model GWAS accounting for structure
Workflow development (Snakemake/Nextflow)
HPC-based pipeline implementation
Publish results in peer-reviewed journals
Present findings at international conferences
Collaborate with experimental and computational team members
Contribute to project development
Mentor graduate students when appropriate

More at https://evol.mcmaster.ca/brian/evoldir/PostDocs//MontpellierU.ComparativeGenomics

Address of the bookmark: http://www.biotnet.org/training-materials/python-programmers

http://elements.eaglegenomics.com/

http://www.csir.res.in/External/Heads/aboutcsir/announcements/ProjectPost_130813.pdf

This project presents demonstrations of selected computer science algorithms important in bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an interesting platform for demonstration of algorithms, since various steps of the calculations can be exposed in a manner that is easily comprehensible to users with little programming experience. The algorithms demonstrated include two approaches to approximate string matching (dynamic programming and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene expression data, and a simple Neural Network. These demonstrations are designed to serve as instructional aids in bioinformatics courses.

Tutorial @ http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsInExcel.zip

One of the best resource for online bioinformatics learning is https://stepic.org/Bioinformatics-Algorithms-2 Enjoy the online learning.

Reference : cybertory

" Please add your favourite bioinformatics algorithms and tutorial links below in the comment section, for the benefit of bioinformatics and computational biology community ". 

Address of the bookmark: http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf

4273π is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost.

Descriptive paper @ http://www.biomedcentral.com/1471-2105/14/243

Image source: BMC Bioinformatics

PNAS papers:
http://www.pnas.org/search?author1=Janet+Kelso&sortspec=date&submit=Submit

Jobs:
http://www.eva.mpg.de/genetics/bioinformatics/jobs.html

Contact:
Kelso Group
Department of Evolutionary Genetics
Max Planck Institute for Evolutionary Anthropology
Deutscher Platz 6
04103 Leipzig
Germany
Email: kelso@eva.mpg.de

All applications sent before 2nd of February 2015.

http://www.mind-project.eu/career

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.

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