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cardiovascular disease. A possible direction for the work is the development of probabilistic graphical models that represent proteins as latent causal drivers of disease, while treating other omics layers as
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for career development, continued education and life-long learning. A dynamic, supportive, and highly collaborative working environment. Life in Munich Located at the foothills of the Alps, Munich is
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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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opportunity to carry out research at the intersection of biology, bioinformatics, mathematics, and biochemistry. Our research groups focus on gene regulation, development and cellular differentiation, chromatin
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publications, international conferences and research mobility grants Support from the TUM Graduate School for internationalization and career development Employee benefits: EGYM Wellpass, corporate discounts