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data analysis tools (Python, R, or similar) for processing high-throughput sequencing or variant library data Professional Attributes * Strong record of scientific rigor, attention to detail, and
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clusters. 2-5 years. Experience with the installation, maintenance, trouble shooting of UNIX systems in a professional capacity required. 2-5 years. Experience with Python, bash scripting, and distributed
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Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement A
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or 2 years based on performance. Applications, including a CV, a statement of research interests, and three letters of reference, should be submitted through the application portal located at: https
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of forest traits and uncertainties. Where to apply Website https://app.skeeled.com/s/J33VQevN Requirements Research FieldEnvironmental science » Earth scienceEducation LevelPhD or equivalent Skills
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Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications and APIs. Technical Skills or Knowledge
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which must be in advanced courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a