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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month 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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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international working environment in the city of Dresden, one of Germany’s most vibrant places. For TUD...
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with (scientific) programming (Python, R or other languages) Comfortable with mathematics and analytical systems thinking Curiosity and willingness to expand their knowledge in related disciplines Very
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Diploma or Master´s degree in geosciences, environmental sciences, physics, atmospheric sciences, or related disciplines Comfortable with statistics, mathematics, and knowledge in the carbon cycle Curious
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, metabolomics, and precision health YOUR PROFILE Completed university degree (Master’s or equivalent) in a scientific or technical field such as Physics, Biotechnology, Bioinformatics, Mathematics, Statistics
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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Description/content The PhD programme in Physics is part of the Georg-August University School of Science (GAUSS), which offers a structured doctoral education and promotes excellent research in mathematics and
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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physics, biology, chemistry, and mathematics at an undergraduate level. In addition, the courses also require basic knowledge in the social sciences. Courses are offered by academic staff at both
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interdisciplinary training for PhD students. The programme supports you in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life sciences