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omics data analysis. A high level of self-motivation and independence, good problem-solving skills, and the ability to work collaboratively in an interdisciplinary research environment. The ability
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: strong foundations in linear algebra, probability theory, and calculus solid skills in programming interest in mathematical and statistical method development, good communication skills and sufficient
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variety of methods including cell culture, molecular biology, and biochemistry is advantageous. Good skills in both written and spoken English are required. Employment The employment is full time and
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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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models for biological data Work with multimodal and longitudinal health datasets Explore self-supervised and representation learning approaches Collaborate with domain experts in biology, medicine, and
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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
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mathematical and statistical method development, interest in uncertainty-aware machine learning, good communication skills and sufficient proficiency in oral and written English, creativity, thoroughness, and a