107 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at Technical University of Munich in Germany
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research funding • Strong organizational and management skills, with the ability to manage multiple tasks in parallel • Excellent analytical skills and ability to present interdisciplinary research
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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interested individual with the potential to become a leader in the team. Intellectual flexibility and the ability to work in a multidisciplinary environment on multiple scientific and infrastructure projects
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practical skills in statistical analysis, data integration, backend or frontend programming and database design. Interest in understanding technologies e.g. proteomics and metabolomics using mass
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11.04.2025, Wissenschaftliches Personal The Technical University of Munich (TUM) is seeking outstanding candidates for multiple scientific staff positions to join the Professorship of Urban and
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integration as well as programming are essential. Additional important requirements include a sound understanding of biology. We are looking for a self-motivated, highly skilled and broadly interested
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listed as the strongest German business school for research, and #9 in Europe for M.Sc. programs in entrepreneurship. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence
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understanding of business and marketing concepts is essential. Good programming skills in at least one programming language e.g., Python. Experience with machine learning or LLM methods will be a plus. Enthusiasm
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using