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Field
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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to highly complex, two-way interactions between the wakes and the overlying atmosphere. While the wider project combines both experimental and computational tools, this position at Durham University focuses
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (Al) offers a great
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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Postdoctoral Associate Required Qualifications (as evidenced by an attached resume): Doctoral Degree (or foreign equivalent) in Chemistry, Physics, Chemical Physics, Nanoscience and Technology, or a
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, national laboratories, or industry. Required Minimum Qualifications: Ph.D. in chemistry, materials science, pharmaceutical sciences, chemical engineering, physics, or a closely related field. Preferred
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the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials discovery. The position
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developing innovative probabilistic methods to tackle fundamental problems at the intersection of spectral geometry, mathematical physics, and number theory. By exploring the geometry and spatial features
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Deadline 18 Oct 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the