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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 19 hours ago
damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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mesoscale fractal geometry, creating physics-informed neural network models to analyze turbulent structures, and comparing simulation results to astronomical observations to develop methods for inferring
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Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects of quantum experiments and quantum algorithms for computational geometry problems. Prior
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, geometry and analysis, with a focus on research at the interface of these areas. About the Positions Successful candidates will join a vibrant and international research environment, collaborating closely
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activities of the CRC TRR 358 „Integral structures in geometry and representation theory“ Recruitment requirements: • Scientific university degree (Master) • PhD in mathematics or related field • Scientific
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, complex geometry, arithmetic geometry, algebraic number theory, global analysis, algebraic topology. We have a large group of PhD students, postdocs and visitors here at Essen, and have many joint
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used to determine geometries and relative stabilities; to compute frontier energy levels, electron affinities, ionisation energies, reorganisation energies, and other descriptors linked to n‑type
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Job Offer from July 31, 2025 We are currently seeking a highly motivated PhD student or Postdoctoral researcher to join our department at the Max Planck Institute for Sustainable Materials (MPI Sus
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timescales, for various climate states and ice sheet geometries. As training data, precipitation fields from the regional climate model RACMO will be used, which is a leading model in this field and developed