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research methods, ideally in numerical optimization and simulation models Proficiency in one of the major programming languages, such as Python Commitment to participate in the design and implementation
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to develop simulation models and analyze complex system performance under realistic conditions in one of MATLAB, Python, C/C++ Strong analytical thinking, problem-solving skills, and ability to work
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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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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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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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RAS signaling and/or targeting is preferred Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential Prior experience
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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