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Postdoc position (f_m_x) ,,Combining Physics-Based Machine Learning and Global Sensitivity Analys...
challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz Association, the largest German
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food
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University is committed to synergy of education, science, and talent, striving to build a high-level research-oriented university. Introduction to Henan Medical College Zhengzhou University’s medical education
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innovative researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance
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(IDM) and the German Centre for Diabetes Research (DZD e. V.) we are looking for a Postdoc (f/m/x) who works on the development and therapy of type 2 diabetes, insulin resistance and fatty liver as part
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in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders. To learn more
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electrophysiological and calcium imaging recording techniques to assess glia and neural activities. Perform pharmacological modulation to investigate neural circuit activity in the context of metabolism and energy
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applicants an exciting opportunity to join our research project to investigate how the difference in kinetics between acetogenic bacteria affect their microbial electrosynthesis performance. The position is
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allowance. Generous travel, equipment, and publication funds. Access to NYUAD’s world-class research facilities, including a high-performance computing (HPC) cluster with ~30,000 cores and 34 GPU nodes. Start