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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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for landowners in these regions. This project aims to: 1. Simulate climate impacts on agro-environmental systems using a state-of-the-art biophysical process model 2.Assess adaptation opportunities for land-users
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mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models. Close collaboration with the other
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information Interact within a diverse and multidisciplinary environment of biologists, clinicians, computational scientists and mathematicians within the TranslaTUM. Your Profile: We are looking for exceptional
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to the success of the whole institution. At the Cluster of Excellence „Physics of Life” (PoL), the Heisenberg Chair of Biological Algorithms (Prof. Dr. Benjamin Friedrich) offers a position as Research Associate
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
climate simulations and interact with stakeholders to develop physically plausible heatwave scenarios for the city of Hamburg and the rural region of Heide in Schleswig-Holstein. In a participatory approach
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materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and