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proficiency in oral and written English, creativity, thoroughness, and a structured approach to problem-solving Additional qualifications Experience with one or more of the following areas is meriting: Bayesian
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to communicate fluently in English, both written and spoken. The following qualifications are not essential but are considered highly beneficial: Experience with foundation models, transformers, generative models
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and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness, and a structured approach to problem-solving; Good
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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oral proficiency in English. The candidate should have A strong interest in protein science, proteomics, structural biology, computational biology, or machine learning. A solid background in molecular
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English. In the evaluation of candidates, particular emphasis will be placed on personal qualities such as independence, strong motivation, and good collaborative skills. Qualifications desired Previous