1,131 computer-science-intern-"https:"-"https:"-"https:"-"BioData"-"BioData" positions in Germany
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collaboration with partners at the Robert Koch Institute (RKI) and other Leibniz institutes. It combines bacterial cultivation, molecular biology, and microbial genomics to better understand the transmission risk
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of Fraunhofer ISE with 22,300 m² of laboratory space enables cutting-edge research at an international level. Be part of change You support our “Sustainable Synthesis Products” department, which focuses
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program in Evolutionary Anthropology. The position offers substantial core funding to support an independent research group. Office and laboratory space will be provided both at Leipzig University and at
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, artificial intelligence, renewable energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented topics that our researchers are working on. Our institute is
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, evaluation, and presentation of measurement series for scientific publications What you contribute You are a student in the field of photonics, physics, engineering or a similar study program. You have basic
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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and written English and the will to acquire a certain working language of German. What we offer We offer The Chair Group of Production and Resource Economics offers a highly international and
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optimisation of analytical and numerical models for metasurfaces Documentation of the algorithms developed and results What you contribute You are enrolled in a Master's programme, e.g., computer science
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closely with international partners to develop technologies for the prevention, diagnosis and treatment of infectious diseases. During your doctorate, you will gain insights into the day-to-day work of a
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, tumor biology, and molecular biology. Our research aims to develop creative and innovative strategies to characterize new classes of molecular imaging agents and advance those with translational potential