118 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Leibniz in Germany
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from now, a PhD student position is available in the research group of Dr. Jian Wang, an independent group leader of DWI. The research in his group aims to open new frontiers in multiple scientific
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of climate and health; Identify, search for, and select relevant academic and policy literature; Extract, code, and standardize data from selected studies; Manage and organize data from multiple sources; Learn
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databases (e.g. Scopus, Web of Science); Identify, screen, and select relevant academic and policy literature; Extract, code, and standardize data from selected studies; Manage and organize data from multiple
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opportunity to address a broad variety of fundamental and applied ecological questions in fields like metacommunity theory, time series analyses, multiple stressors responses, invasive species, ecological
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Transitions and Innovation Management (m/f/d) (50-75 %) Combined applications for multiple positions within the NEXRUR Project are possible up to a total extent of 100%. Your responsibilities Perform action
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to the biology of aging and have the opportunity to join a very well-equipped Lab with an international team Access to multiple state-of-the-art facilities. Our work is embedded in the Beutenberg Campus
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become part of a world-leading research institute dedicated to the biology of aging and have the opportunity to join a very well-equipped Lab with an international team Access to multiple state-of-the-art
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research project “Cities. Building. Culture – The Residential Heritage of the Soviet Union in Times of Multiple Crises” funded by the Federal Ministry of Education and Research (BMBF). This international and
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-based or simulation modelling, agricultural policy, and structural change Programming experience (e.g. C++, Python, or NetLogo) and/or knowledge of optimization techniques is advantageous Strong
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge