Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco.

Address of the bookmark: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

These are just a scant few of the common questions asked by bioinformatics students as they ready themselves for the next exam sitting. If you read the entire Syllabus (and I know that everyone does), you will see a section devoted to study and exam techniques. The section discusses such broad concepts as motivation, scheduling, and retention. Upon reading this section, however, I find the "hints" to be too general. Much of the advice boils down to read, study, understand, and memorize the material. The techniques mentioned apply to everyone and thus the overall advice ends up as a broad overview of the learning process.

The idea behind this article is to give students ideas on different approaches and techniques in the preparation for exams. By providing various ways to prepare for the exam process, fascinated readers may gain some additional insight to help complement their studying methodology. There are, of course, many common themes expressed in this small empirical sample of students' study habits. The idea of note cards, memorization, and problem solving are frequently mentioned by all students. No matter what technique a candidate uses, it always takes a significant amount of time and personal resources to successfully complete the examination process.

1 Explain it in your own word

Your teacher or lecturer can explain something to you, you can learn it from a text book, your friends can study with you, even your own notes can explain it to you but all these explanations are of little use if, by the end, you can’t explain what you have learned to yourself. The BINC exam looking for ability to write and explain the concept in your own word. You, therefore, need to illustrate in an exam to get top exam results, then you won’t be happy with your end exam result. So don’t just memorise and tick off the list – make sure you understand your theory.

2 Be an examiner yourself

Of course, depending on what you’re studying, it may be quite difficult to get into a position to understand a concept, theory or other information you need to learn. Ask ‘stupid’ question to yourself and train yourself for the worst! Embrace your curiosity, for as William Arthur Ward said: “Curiosity is the wick in the candle of learning.” Doing so will allow you to fill in the blanks and better prepare you for exams.

3 Quiz yourself

Once you feel you understand topic, it is important to test yourself regularly. Try yourself to replicate exam conditions as much as possible: turn your phone off, don’t talk, time yourself etc. You can set yourself a study quiz or practice exam questions and, so long as you approach it with the right mindset, you can get a very good idea of how much you know. You gain a greater insight into where you stand in relation to what you’ve studied so far.

4 Online study

Keeping the fact that, bioinformatics is ever changing subject, you might need to update yourself on timely basis. Don’t feel obliged to just sit in front of a book with a highlighter; there are many different ways to improve your bioinformatics knowledge. Login and check almost all web servers and keep yourself updated, like how many genomes sequenced, sizes, techniques used, software names etc.

5 Study plan

In order to achieve exam success, you need to know what you want to achieve and focus on. That’s why it is extremely important to set your Study Goals now and outline to yourself what you need to do. With your study goals in mind, you properly need to attention all subjects. It should be broad enough to allow you to add and change aspects but concise enough so you know you’re covering each subject/topic as best you can at this point.

Project: Indo-UK Centre for improvement of Nitrogen use efficiency in wheat Dr. Soma S. Marla, Pr. Scientist (Bioinformatics), Division of Genomic Resources, ICAR, NBPGR, ND.

Qualification: Ph.D. Degree in Computer Sciences/Bioinformatics OR 1. First class Master’s degree in any discipline of Plant Sciences with specialization in Computer Sciences/ Bioinformatics having 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2. NET qualification is essential for the candidates with 3+2 years B.Sc.+ M.Sc. Desirable: Demonstrated experience & skills in database design, management, UNIX OS, in NGS data analysis. Experience substantiated by publications of high quality will be preferred.

No.of Post: 1

Pay Scale: Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; Rs.38,000 ( Masters Degree 0 + 30 % HRA).

Age Limit : below 40 years for RA position
How to apply
Applicants for RA post should send their complete CV (Advance copy of the application may be sent by email to :soma.marla@icar.gov.in or ssmarl@yahoo.com, should enclose the copy of the research publications; one page summary of their achievement relevant to the post applied for; and should enclose two reference letters (one must be from the person with whom worked latest). Shortlisted candidate will be intimated for interview by email.

The candidates who wish to attend the walk-in interview are requested to bring with them five copies of the CV (one copy with photograph) as per the format given below. Also, the candidates should bring the original documents such as degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification.

Date of Interview: 17.8.2016.

More at http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7133

Applications are invited on plain paper from eligible candidates along with biodata and copies of certificates in support of age, qualification and experience for the following position:

Particulars Description

1. Position & No. JRF (Junior Research Fellow) 01

2. Title of the Project Molecular modeling and docking studies on Deguelin and its derivatives with cell cycle arrest, apoptosis and anti-angiogenesis pathway proteins in cancer cell signaling pathway

3. Tenure 3 years

4. Investigator Dr. K. V.Swamy

5. Institute Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Tathawade, Pune 411033.

5. Qualifications/Eligibility

Essential: NET (National Eligibility Test) qualified M. Sc Bioinformatics/ M. Tech Bioinformatics/M. Sc Biotechnology/M. Tech Biotechnology or Graduate degree in Professional course with NET qualification or Post graduation degree in professional course

The following examinations conducted by various Central Government Departments/Agencies are considered as National Eligibility Test (NET).

1. CSIR-UGC-LS
2. GATE (Graduate Aptitude Test in Engineering)
3. JAM (Joint Admission Test)
4. GPAT (Graduate Pharmacy Aptitude Test)
5. BET(Biotechnology Eligibility Test)
6. BINC(Bioinformatics National Consortium)
7. JEST( Joint Entrance Screening Test)
8. JGEEBILS(Joint Graduate Entrance Examination for Biology & Interdisciplinary Life Sciences)
9. NBHM Ph.D scholarship Screening Test
10. ICMR- JRF Entrance Examination
11. AICE (ICAR-All India competitive Examination )
(For all above examinations valid score considered at the time of interview)

Desirable: Knowledge and skills in Bioinformatics tools/ softwares

6. Monthly Emoluments Rs.25,000/ (As per DST-SERB rules)

7. Last date for submission of prescribed application 20/08/2016

Kindly send your applications to “Dr. K. V. Swamy, Asst.Professor, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Survey No. 87/88, Mumbai-Pune Express Way, Tathawade, Pune - 411033, Maharashtra, India”. Highlight the envelope with “Application for post of JRF (Junior Research Fellow)”.

Note: No TA/DA will be paid for attending the interview.

Advertisement: http://careers.dpu.edu.in/Biotech.aspx

a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA

b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA

c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA

d) Computer Programmer 1 post UR & 1 post SC on a consolidated salary of Rs. 32,500/- pm

e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm

More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf

More at http://www.nipgr.res.in/careers/vacancies_latest.php#

Duration of the Project: Six Months from the date of appointment can be extended further for six months
Essential Qualification and Experience: 1st Class Masters Degree in Bioinformatics or Life Sciences equivalent degree from a recognized University with 4 years R&D experience in Bioinformatics or relevant subjects from recognized institutes.
OR
Ph.D. degree in Bioinformatics or Life Sciences from recognized University.
M.Sc. degree obtained after a one year course will not be considered.
Experience: Research/teaching experience in Bioinformatics or relevant subjects form recognized Institute(s).

More at http://www.actrec.gov.in/data%20files/Vacancies/2016/AV-scin-stud-trainee-6-Sept-16.docx

Note: Experience in the following field required: Molecular cancer cytogenetic and genetic toxicology Molecular drug Designing and targeted therapy Cancer genomics, proteomics, bioinformatics and next generation sequencing Therapeutic stem cell research and gene therapy Molecular cancer immunology and immunotherapy Molecular epidemiology Tumor endocrinology Translation research Ultra structural/tissue engg/development biology research Virus and cancer Molecular pathology No. of Posts: 11 (Eleven), (SC-1, OBC-3, UR-7)

Location: Kolkata (Calcutta) Salary: Rs.15600-39100 + Grade, Pay Rs.5400/-

For details kindly refer to the Employment News dated 24-30 September, 2016 and in the Institute’s Website: http://www.cnci.org.in

Last date for receipt of applications is 30 days from the date of notification in the Employment News. Director Chittaranjan National Cancer Institute 378, S.P.

Institute’s Website: http://www.cnci.org.in

Address of the bookmark: https://ics.hutton.ac.uk/strudel/

You should begin by downloading the program from here. You will need to choose the link that matches your computing platform and then follow the instructions for opening the download package.

Once you have done this, you will be ready to try some example analyses on the test data that are provided with the download. The section on Examples shows how to use the most common IMPUTE2 functions. We suggest that you work through these examples and try to understand what the elements of each command are doing. If you don't understand something or would like to know if the program can perform a function that isn't listed, you can read our FAQ or submit a question to our mail list.

When you have learned the basic functionality of the program, you can use several features of this website to prepare your own analysis:

• Learn about best practices for imputation.
• Download reference data that you can use to impute genotypes in your study.
• Look through a complete list of program options.

Address of the bookmark: https://mathgen.stats.ox.ac.uk/impute/impute_v2.html