151 parallel-and-distributed-computing-"UNIS"-"Humboldt-Stiftung-Foundation" positions at Leibniz in Germany
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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-responsive proteins to develop genetic switches and circuits in therapeutically relevant bacteria. Your tasks: Use computational tools to design protein structures with desired properties Produce
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contribute to practical supervisory implementation Your Profile: Enrolment in a Ph.D. programme or Ph.D degree or Masters with 3-4 years of relevant professional experience in Economics, Sustainable Finance
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parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is available for 3 years. We look forward to welcoming a team player with high
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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programme. What will be your tasks? The position focuses on the co-design and co-development of a monitoring assessment and policy framework for mitigating changes in marine lightscapes. You will be part of a
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research program. What will be your tasks? This position will be part of the international SkaMix Consortium with partners from Norway, Sweden, Denmark, The Netherlands and Germany with the aim to identify