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. Experience with scientific data-processing software (such as Matlab, Python, R, C, Labview, or equal) is a plus, as well as experience with statistics and chemometrics and interest in dairy farming. You are
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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI
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, excellent study results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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Additional Information Eligibility criteria Ability to design and implement behavioral protocols Knowledge of statistics Experience in signal analysis Experience in agent-based modeling Proficiency in Python
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes. Int J Mol Sci. 2024;25. https://hal.science/hal-04519643 - Programming in Python and C
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statistical and/or multivariate approaches (proficiency in tools such as Python, R, or equivalent is desirable); * Ability to design, adapt, and optimize experimental protocols; * Strong analytical and critical
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background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis