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Field
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, and coding skills (particularly in Python)* Experience handling and analysing large-scale biological datasets Track record of writing papers as evidenced by publications or submitted manuscripts in
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experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large
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keeping (essential) Strong expertise in T cell biology (desirable) Proficiency in computational analysis (e.g. R, Python, linux command line) (desirable) Experience in generating and analysing single-cell
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related field. Strong background in solid mechanics, materials physics, and crystallography. Experience developing tools using Python, C/C++, MATLAB, etc. Demonstrated ability to conduct independent
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
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or related methods. Strong quantitative and statistical skills, with experience using relevant software such as R, Python, MATLAB, MNE, FieldTrip, or comparable tools. Evidence of the ability to conduct
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the start of employment, in bioinformatics, computational biology, computer science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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condition of employment that the master's degree has been awarded. Experience with Python programming, the ability to work comfortably in the Unix/Linux environment, and handling large climate datasets in
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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is