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such that the governance requests and guidance can be tracked. Create and provide training on “R” to SAS programmers. Telecommuting permitted up to 20%. Required Skills: Employer will accept a Master’s degree (or foreign
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., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl
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Department Reference 25.84-1240 The R³B experiment represents a challenging setup in the frame of the FAIR NUSTAR pillar and is carried out in the environment of an international collaboration. R3B provides
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systems biology Proficient in either Python or R and good knowledge of data science environments Familiarity with Unix environments Strong working knowledge of training, including experience as an
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of Engineering and Computing Rice University's George R. Brown School of Engineering and Computing is a top-ranked program that empowers the next generation of leaders with strong technical and communication
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methods (e.g., SGTCCA-NET) for the project's needs. Develop and implement novel statistical approaches for multi-omics network analysis. Update and improve existing R code to incorporate methodological
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 15 days ago
UT Health San Antonio Joe R. and Teresa Lozano Long School of Medicine Division of Pulmonary Diseases & Critical Care, Department of Medicine ASSISTANT PROFESSOR/CLINICAL The Division of Pulmonary
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R, C++, or MATLAB is considered a strong asset. Experience with fieldwork or working with soil
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- information provided in the CV and/or in the motivation letter; Advanced knowledge in Python and R programming languages, preferably applied to graph manipulation and analysis, biological network analysis and