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. Profile You recently obtained a PhD in optics, applied physics or related fields with a strong knowledge of optics. You have experience in adaptive optics as well as hands-on experience with optical setups
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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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information science, broadly defined. Experience in topological materials/ topological quantum computation/ quantum geometry/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition
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, and you might contribute to reports and case studies. The research fellow should also ensure the successful completion of the publication process, and ideally help creating materials to translate
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motivated and dynamic candidates with a strong background in early-Universe cosmology and the Standard Model of particle physics. Previous experience with numerical simulations of the early Universe and/or
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motivated team player who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics
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–2028 cycle will open in November 2026. Help Us Improve Our Fellowship Application Process We noticed that some applicants began the application process but did not submit their application
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and