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optimization, and be proficient in Python and modern ML/RL libraries. Experience with robotic control systems, laboratory automation, simulation platforms, or interfacing software with hardware is highly
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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, or probabilistic modeling, and be proficient in Python and modern machine-learning frameworks (ideally PyTorch). Experience with single-cell transcriptomics, epigenomics, proteomics, spatial omics, or multimodal
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, computational cancer biology/genetics or a related field, obtained within the last 5 years by the time of the appointment start date or an M.D. within 10 years as well as Proficiency in Python, R, and ML
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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expected to have experience in one or multiple of these skills: Atmospheric modelling, Analysis of atmospheric satellite measurements, Programming in Fortran, and Matlab or Python on Linux systems. To Apply
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical
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. Significant programming experience. Preferred: Python or Matlab; IDL, C/C++ or other languages also acceptable. Language requirements English Information on language requirements and self-assessment tests
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data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic