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Field
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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of study and possess working technical skills in python/MATLAB programming are preferred. The appointed position period is two years (1+1), with the first year being a probation year. Extension may be
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mentoring graduate and undergraduate students in laboratory research. Experience working at BSL2 or higher Experience in computational data analysis e.g. use of UNIX-based systems, R, Python, or similar tools
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research. Familiarity with statistical, qualitative, or analytic software (e.g., R, Stata, SAS, Python, NVivo, or similar platforms). Demonstrated record of scholarly writing, policy analysis, publication
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. Preferred skills Knowledge of basic methods in genomic sequence analysis and plant genetics. Unix scripting, knowledge of a scripting language such as Python, Perl, awk, or R, knowledge of computational
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analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae (including completed degrees, list of publications, research
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Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or more letters of recommendation. The target start
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Proficiency in large-scale genomic data management and bioinformatic processing, including fluency with R/Bioconductor workflows and Python scientific stacks. Hands-on experience with deep learning frameworks
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programming, such as R and/or Python is required. Able to work independently, meet specific goals and milestones, but also serve as part of a collaborative interdisciplinary team. Additional Qualifications
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degree in physical sciences, biochemistry, or computer science is required at the start of the position (we accept ABD applicants). Applicants with prior experiences with Linux command line, Python