Applications are invited from suitable candidates for six months ‘Training Fellowship’ in Bioinformatics under the BTISNET program of DBT in the Distributed Information Sub center (DISC) facility at NIPGR, New Delhi, under the supervision of Dr....
bib.oxfordjournals.org - Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and...
Research Associate Bioinformatics in IISc Recruitment 2020
Essential Qualifications: Ph.D. (Bioinformatics/ Biophysics/ Biotechnology or any other stream of biological/ physical sciences) with a minimum of two publications in reputed peer...
training.galaxyproject.org - Welcome to Galaxy Training!
Collection of tutorials developed and maintained by the worldwide Galaxy community
TopicTutorials
Introduction to Galaxy Analyses
10
Assembly
6
Climate
3
Computational...
Covenant University (CU)Ota:Covenant University (with her enriching and growing stateoftheart laboratories in the area of science and technology, arts, business and social sciences) is presently the Best University in...
At the Department of Informatics two 4-year positions as research fellow are available in the field of computational biology connected to the Computational Biology Unit. The positions are linked to the project “Integrated genomics - linking...
*Livestock Functional Genomics Summer School - Call for applications*
1st Livestock Functional Genomics Summer School (LFG 2013).
This School was designed for graduate students and early-stage researchers with interest in livestock genomics,...
biomickwatson.wordpress.com - This guide is aimed at pet bioinformaticians, and is meant to guide them towards better career development.
1. Make friends with local bioinformatics groups 2. Talk to your computing group 3. Obtain clear expectations 4. Rewrite your job...
www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/