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Field
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intervention platforms. Background in computational methods used in neuroimaging (e.g., Matlab, UNIX, LINUX, C/C++, SPM, AFNI, Freesurfer, FSL, TrackVis,CONN). Exceptional skills in experimental design
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experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning and embedded systems (e.g., C, C++, Linux, PyTorch, TensorFlow, MATLAB
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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
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, post-GWAS analyses, and genetic imputation. Experience conducting analyses in the R statistical package. Programming experience on a Unix or Linux platform. Experience in conducting statistical genetic
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
one of: Python, R, C/C++, or Perl; proficient with Unix/Linux. •Experience with deep learning, statistical modeling, or AI applications to biological data. •Familiarity with transcriptomic technologies
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related field Experience with genome assembly and/or large genomic datasets Strong computational skills (Unix/Linux, scripting in R/Python) Publication record in peer-reviewed journals Other Position
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candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance
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/Linux environment. Effective manuscript writing and verbal communication skills. Proven ability to publish your scientific results in the peer-review journals. You will be a highly motivated individual
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 3 months ago
other grant partners. YOUR QUALIFICATIONS • PhD in bioinformatics, microbiology or genetics. Applicants in the final stages of their degree are welcome to apply. • Knowledge of Linux, Bash, and a
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languages (e.g., Python, R, SQL), in Linux environment, and HighPerformance Computing infrastructures, in handling workflow/workload managers and containers; High proficiency level in Python and relevant deep