Position for a software engineer

Software engineer position
GINsim is a software for the definition and analysis of logical models of biological regulatory networks. The software includes a user interface to define the proper models (graphs and logical functions), annotations and specifications of simulation parameters (construction of state transition graphs).
Along the recent years, we have included in GINsim new features such [...]
TheScienceJobs.com » Bioinformatics

Scientist: Bioinformatics and Neuroimaging Research, CAMH Canada

EMPLOYMENT OPPORTUNITY
Independent Scientist
Initial Assignment: Bioinformatics and Neuroimaging Research,
Neuroscience Research Department
Centre for Addiction and Mental Health:
The Centre for Addiction and Mental Health (CAMH) is Canada’s leading Addiction and Mental Health teaching hospital. CAMH succeeds in transforming the lives of people affected by addiction and mental illness, by applying the latest in scientific advances, [...]
TheScienceJobs.com » Bioinformatics

Postdoctoral or Post Masterâ??s Research Associate in Computational Biology and Bioinformatics

Oak Ridge Institute for Science and Education – Oak Ridge, TN – has an open postdoctoral position for individuals with training in Computational Biology or Bioinformatics… of relational database, laboratory and workflow management systems, or a Ph.D. in Computational Biology or Bioinformatics
bioinformatics jobs in USA – Careerjet

Walk-In Interview of Scientist-’B’ – (Bioinformatics) (1 position – OBC reserved) ad-hoc basis on 06-09-2010 at NIN, HYD

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Scientist B (1 position – OBC reserved) Ad-hoc basis, Biomedical Informatics Centre, National Institute of Nutrition, Hyderabad, Andhra Pradesh, India-500 007
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Please DO NOT send any email, it will NOT be considered.
WALK-IN-INTERVIEW
Eligible candidates are invited to attend a WALK-IN-INTERVIEW on 6th September, 2010 at 9.30 A.M. sharp for the following post on the [...]
TheScienceJobs.com » Bioinformatics

Bioinformatics Introductory Statistics with R(Statistics and Computing)

Bioinformatics Introductory Statistics with R (Statistics and Computing)

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets. The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression. In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.

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