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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in
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) Proficiency in scientific programming using Python, with experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in
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optimization is considered a strong advantage. Experience with Python scripting for data analysis is considered valuable. A strong commitment to research. Enthusiasm for working with research students
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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Geosciences, Environmental sciences, Civil or Environmental Engineering, Physics or Mathematics or a related discipline Experience in programming (e.g., Python, MATLAB, or similar), interest in machine learning
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synucleinopathies Familiarity with multi-omics approaches, e.g., snRNA-seq Experience with image quantification software and/or basic data analysis in R or Python Experience working in interdisciplinary and
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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molecular biology and genetics techniques. Strong quantitative/analytical skills and proficiency in programming in MATLAB, Python, or R. Track record of first-author original research papers. Strong oral and
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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure