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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of coarse-graining methodologies to study
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18.03.2026, Academic staff We are looking for a PhD candidate to join the AI-Based Materials Science group in the Physics Department at the Technical University of Munich. In this position, you will
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varied, and the results will be compared with existing experimental data. You will learn how complex thermal process are modeled and simulated, develop an understanding of computational methods in practice
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well as to do computationally-based modelling within the research area of theoretical condensed matter physics, with a special focus on ultrafast magnetism, such as modelling of ultrafast spin currents, theory
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-mobility, aerospace, or sustainable energy supply: excellent teams are working here to shape the future. The »AI-supported simulation« team combines physics-based simulation approaches with efficient and
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Water Fluxes. Your tasks Build hybrid models, process-based and deep learning models, to capture ecosystem flux dynamics across space and time Develop generalizable models robust to climate variability
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us to investigate and control microbial interactions across physically separated yet metabolically connected communities. PhD position 2:Teach anaerobes to survive a breath of air. You will push
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) and/or by applying ultrafast X-ray tomography (e.g., ROFEX) Develop and further improve multi-sensor and imaging-based measurement methods to capture key process variables in different zones
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scientific seminars What you contribute Master’s studies in chemistry, chemical engineering, industrial engineering, energy and process engineering, environmental engineering or a related field Proficiency in
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 10 days ago
beyond the reach of state of the art approaches. Working at the interface of physics, biology, chemistry, and engineering, you will design and build innovative imaging instrumentation and analysis