9 post-doc-in-machine-learning Postdoctoral positions at Heidelberg University in Germany
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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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projects and deadlines Scientific track record Fluency in English; German proficiency or the willingness to learn is advantageous Familiarity with data-analysis / scripting tools (e.g. SCiLS Lab, METASPACE
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
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the possibility of extension. If you are interested in this position, please send your application (as a single pdf-file), containing a letter of motivation, a CV, a list of publications, copies of academic
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vacation care, advice for employees with relatives in need of care Wide range of health, prevention and sports offers Contact & Application For further information please contact E. Watson via mail
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) references (university degrees only), and (5) contact information of two people who can send a reference, all together as one coherent PDF file addressed to Prof. Dr. Renata Motta and sent by email to hcias
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Contact & Application For further information please contact Prof. Dr. Ralf Gilsbach via e-mail. Interested? Applications will be accepted until 31.07.2025 online. Institut für Experimentelle Kardiologie