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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. Bert de Groot) is inviting applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations
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simulations of air pollution recently developed in the Modular Earth Submodel System (MESSy). In this framework the role of black and brown carbon for land-atmosphere and aerosol-cloud interactions will be
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: Cover/motivation letter not exceeding 2 pages. Curriculum Vitae. A copy of PhD and Master of Science certificates. Candidates who are due to complete their Ph.D. thesis before April 30, 2026
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of deformable objects Simulation and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and
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of deformable linear (e.g., cables) and surface objects (e.g., fabrics) Bimanual coordination and manipulation planning Vision- and tactile-based perception and state estimation of deformable objects Simulation
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Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
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higher education law. We expect from you: a completed completed scientific university degree (diploma or master) and a PhD in biology, ecology, macroecology, environmental sciences, geoinformatics
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Your Job: This project uses numerical simulations to determine the relative importance of the presence of interstellar objects (ISOs) in the interstellar medium. Specifically, the various formation
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formation of polyhalogens. The applied methods will include first principles methods like DFT, both for finite and periodic systems, ab initio molecular dynamics simulations and calculations of various
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
-Neptunes and gas giants (3 years). Developing next-generation techniques for atmospheric characterization through retrievals with machine learning, including techniques such as simulation-based inference