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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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theories from different social sciences. Synthesizing and extending the knowledge on socio-behavioral factors affecting such long-term (economic) decisions and people’s views on a fair distribution of
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; and running regional climate model simulations to project future Greenland surface mass balance under different sea ice scenarios. You will work within a close collaboration between IMAU and AWI
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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, cooling aggregates and heat pumps systems to develop control strategies and test operation windows under different load conditions. You will perform techno-economic and feasibility analyses. You will
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skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 hour ago
researchers with different backgrounds to collaborate and develop their skills to bridge molecular, cellular and organismal levels. Relevant work experience comprises planning and performing preclinical fMRI
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from open water and polynyas drive snowfall and melt events; and running regional climate model simulations to project future Greenland surface mass balance under different sea ice scenarios. You will
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charge of: · Developing LCI models and using LCA to assess different scenarios of energy storages in batteries, as well as the realization of preliminary LCAs for novel substances