37 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Leibniz
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., deep learning and statistical modeling). You have knowledge of molecular genetics and genomics. You have a very good command of English (both spoken and written). You have the proven ability to conduct
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, and light-matter interactions. Strong theoretical knowledge/programming skills (e.g.: Keldysh path integral, quantum transport theories, molecular dynamics simulation, exact diagonalization and (time
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investigating the molecular mechanisms of aging and the occurrence of age-related diseases. Our aim is to create the basis for new approaches in medicine as a way to improve the health of the elderly (www.leibniz
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modeling, AI-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention. We invite applications
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analyses (e.g., Linkage, QTL and GWAS analyses). Hands-on experience in phenotyping plants (e.g., cereals) is a must. Experience with molecular, cytological and/or biochemical techniques or R programming is
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dynamics and the economic trade-offs involved. We aim to develop and apply an economic spatial equilibrium model to explore these issues. The model will focus on global land use, with a particular emphasis
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in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios
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aims to shed light on AMOC variability and change during the last two millennia by combining climate model simulations with proxy data, using particle filter data assimilation, and to link
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biodiversity in Earth system dynamics – to serve science and society” Senckenberg stands for curiosity-driven and application-oriented collections-based research. The Department of River Ecologyand Conservation