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More at http://sfu-compbio.github.io/scalce/

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No. of Post : 01

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

Emoluments : Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; 38,000 (Master’s) Degree + 30 % HRA.
Hiring Process : Walk - In
Job Role: Research/JRF/SRF

Candidates should appear by 10.00 AM on 16.03.2016 for registration with relevant documents in the room B4, Bioinformatics Lab, ICAR.NBPGR. old campus, Inderpuri, New Delhi.

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 DOB, degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification.

http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7284

Experience Required: 3-5 years of experience
No of Positions : Multiple
Qualifications: Candidates with minimum qualification as M.Sc Bioinformatics with 3-5 years of experience in Life sciences R&D or Pharma Industry.
Ph.D candidates with research experience in Bioinformatics with publications in International journal and minimum 2 years of industry experience in clinical genomics will be preferred for this position.

Requirement:

1. Must have basic understanding of molecular biology and Genomics.
2. Experience in application development or must have expertise in programming using either of Perl/Python.
3. Experience in statistical programming using R/Bioconductor/Matlab.
4. Strong concept in statistical and mathematical modelling.
5. Experience in designing and developing the bioinformatics pipeline.
6. Must have minimum 2+ years of hands on experience in NSG data analysis such as RNA-Seq,Exome-Seq ,Chip-Seq and downstream analysis.
7. Knowledge in WGS ,WES, Targeted re-sequencing,GWAS and population genomics will be preferred.
8. Must have experience working on opensource software/Framework and commercial software for NGS data analysis and reporting.
9. Should be aware of handling big data and guiding team members on multiple projects simultaneously.
More at http://www.ocimumbio.com/careers1/
10. Should have experience coordinating with different groups of clinical research scientist for various project requirements.
11. Ability to work as team as well as independently with minimal support.

Department of Biotechnology, Government of India, New Delhi & Pondicherry University, Puducherry

Starting of online submission of application : April 13, 2016

Last date for submission of application : May 13, 2016

Examination consists of two parts:

Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)
Part - II (Paper • II & III) : June 26, 2016 (9 AM • 12 PM & 2 PM • 4 PM)

Objective: Pondicherry University, on behalf of the Department of Biotechnology (DBT),
Government of India, will conduct the Bioinformatics National Certification (BING) examination. The objective of this examination is to identify Bioinformatics professionals
for further studies as well as to help potential employers in recruitment of candidates having exceptionally good Bioinformatics skills.

Eligibility : Bachelor degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in Bioinformatics.

Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.

Syllabus for the examination is available online.

It consists of five sections:
Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics & Statistics and Computer Science & Information Technology.

Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.

The online Part - I (Paper - I) examination is scheduled on June 12,2016 and Part- II (Paper - II and Paper- III) on June 26, 2016. The Paper- I will be of objective type and candidates scoring a minimum of 40% marks in Paper - I will be called to appear in Part II examination.

Part II examination consists of two papers : The Paper - II will be of short answer type questions of three hours duration while the Paper- III will be a practical examination of two hours duration to test analytical ability and programming skill of candidates.

Research Fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition, cash prizes will be awarded to the top 10 successful candidates.

The details of examination centres, other details and submission of application, please
visit: http://www.pondiuni.edu.in/exams/binc/

Department of Biotechnology, Government of India, New Delhi & Pondicherry University, Puducherry

Starting of online submission of application : April 13, 2016

Last date for submission of application : May 13, 2016

Examination consists of two parts:

Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)
Part - II (Paper • II & III) : June 26, 2016 (9 AM • 12 PM & 2 PM • 4 PM)

Objective: Pondicherry University, on behalf of the Department of Biotechnology (DBT),
Government of India, will conduct the Bioinformatics National Certification (BING) examination. The objective of this examination is to identify Bioinformatics professionals
for further studies as well as to help potential employers in recruitment of candidates having exceptionally good Bioinformatics skills.

Eligibility : Bachelor degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in Bioinformatics.

Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.

Syllabus for the examination is available online.

It consists of five sections:
Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics & Statistics and Computer Science & Information Technology.

Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.

The online Part - I (Paper - I) examination is scheduled on June 12,2016 and Part- II (Paper - II and Paper- III) on June 26, 2016. The Paper- I will be of objective type and candidates scoring a minimum of 40% marks in Paper - I will be called to appear in Part II examination.

Part II examination consists of two papers : The Paper - II will be of short answer type questions of three hours duration while the Paper- III will be a practical examination of two hours duration to test analytical ability and programming skill of candidates.

Research Fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition, cash prizes will be awarded to the top 10 successful candidates.

The details of examination centres, other details and submission of application, please
visit: http://www.pondiuni.edu.in/exams/binc/

This readme covers all necessary instructions for the impatient to get andi up and running. For extensive instructions please consult the manual.

More at https://github.com/evolbioinf/andi/

Address of the bookmark: http://bioinformatics.oxfordjournals.org/content/early/2015/01/13/bioinformatics.btu815.full

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