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conducted in German. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline 31 January for the following winter semester Tuition fees per semester in EUR
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young scientists is an excellent educational programme covering all relevant aspects of scientific inquiry, including training in experimentation and theory. A specific feature serving as both an asset
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supports all early-stage researchers across Heidelberg University, either pursuing an individual PhD or a structured PhD in the context of a doctoral programme. It is committed to excellence in training and
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communication in the labs is predominantly English. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Students pursuing a doctoral degree can apply throughout
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Altersforschung: Fritz-Lipmann-Institut e.V. (fli) HKI (Hans Knoell Institute) Leibniz IPHT (Leibniz Institute for Photonic Technologies) Teaching language English Languages Courses are held in English. Programme
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral
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tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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theory and code development. Basic programming skills are expected. General requirements: very good university degree (M.Sc. or equivalent) in chemistry, physics, or materials sciences; specialization