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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 5 hours ago
(or equivalent) from any relevant field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating environment that provides novel technologies to elucidate
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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plant sciences neurosciences structural biology and biochemistry systems biology, bioinformatics, and mathematical biology molecular medicine Course organisation PhD students will work independently under
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Chemistry and Earth Sciences Engineering Sciences Mathematics and Computer Science Physics and Astronomy Philosophy Modern Languages Theology Law Economics and Social Sciences Behavioural and Cultural Studies
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
or merit in the UK) or the equivalent national qualification in any area of social sciences including statistics and applied mathematics who are interested in this opportunity must submit their application
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Sciences. The programme focuses on conditions, processes, and outcomes of learning with research perspectives ranging from psychology, educational science, medicine, mathematical education, neurosciences
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has to offer. Particular emphasis is placed on common responsibility of the Faculty of Mathematics and Computer Science at Saarland University for all doctoral students. The structure of our programme
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unique opportunity to learn about the most recent developments in the corresponding fields first-hand. Faculties Faculty of Mathematics, Informatics and Natural Sciences: Department of Physics Department
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areas of each track of the programme (economics, finance, marketing and accounting), followed by courses designed to expose students to the research frontier in a variety of fields of specialisation
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papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or preferable subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields