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background relevant to the multidisciplinary research of our IMPRS-ML Faculty , including but not limited to Biology, Biochemistry, Biophysics, Chemistry, Computer Sciences, Engineering, Mathematics, and
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an interest in computational neuroscience and with a strong mathematical background are welcome to apply if they hold an MSc or equivalent degree at the start of the programme. We strongly advise you to check
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information, please visit our website . Faculties Faculty of Medicine Faculty of Mathematics and Natural Sciences Faculty of Arts Course language English Current information Applications are accepted year-round
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sustainability is defined in the broadest possible sense and is open to applicants from any discipline (including but not exclusive to: engineering, law, mathematics, all the sciences, the social sciences and the
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 19 hours ago
, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by an internationally
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 19 hours ago
(biology, biochemistry, chemistry, physics, bioinformatics, mathematics, or related fields). The academic performance should be excellent (rank at or near top of class). Doctoral candidates register with
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involved in research from the start. Our university is currently home to some 11,000 students enrolled in around 120 different degree programmes in the fields of mathematics and natural sciences, humanities
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. (Fraunhofer Society for the Advancement of Applied Research) and can thus draw on the competencies of a strong network. We, the Fraunhofer Institute for Industrial Mathematics ITWM, see it as our task
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle