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Field
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addition, this PhD programme includes: Elective Options (18 ECTS credits): Elective options are meant to give students the opportunity to improve their professional skills and to gain practical experience in
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with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable
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equivalent study courses) or equivalent tertiary degree (e.g. German "Diplom") in biology or related fields with excellent results. Academic experience in biomedical science is advantageous. Candidates with
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), practical experience, multicultural competencies. PDF Download International elements International guest lecturers Projects with partners in Germany and abroad Course-specific, integrated German language
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aims to combine state-of-the-art techniques in experimental sciences and computational life sciences. Over the last decade, the molecular life sciences have undergone a major development. Currently, the
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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offers a structured, research-oriented three-year doctoral study course in a specially designed curriculum. Intensive supervision as well as elements providing conference and teaching experience are also
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Science Research Forum: Developing PhD Research Projects Advanced Econometrics Fundamentals of Experimental Design and Analysis Introduction to Econometrics Course organisation The programme consists of two
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that come along with large-scale experiments. We offer leading interdisciplinary research between domain research fields and computer/data science or applied mathematics; research at world-leading, large
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the systemic effects on energy balance. Course organisation Based on the long standing experience with structured graduate programmes of the participating institutions, the educational programme of the TRR 333