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Field
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join the world-leading Advanced Nano Materials, Structures and Applications (ANMSA) Group, a hub for innovation in the development of novel micro- and nanostructures and miniaturized diagnostic
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As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate program, which includes tailored training, workshops, retreats
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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. Empa is a research institution of the ETH Domain. We offer an opportunity to join an exciting project at our Structural Engineering Laboratory , within the Advanced Structural Materials and Systems (ASMS
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. Empa is a research institution of the ETH Domain. Your tasks Amorphous materials play a key role in sustainable catalysis and energy conversion, but their disordered atomic structure makes them difficult
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of calculations on a hardware architecture that matches the inherent nature of quantum chemistry electronic structure calculations and with it the opportunity to capture some of the inherent physics, albeit with
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Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group develops and
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keen interest for bio-imaging. Completed Master`s degree in molecular/structural biology or biophysics. An outstanding academic record. Previous experience in protein imaging using atomic force
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. Specifically, we distinguish between structural integration (e.g., access to jobs, promotion and retention), social integration (e.g., intergroup attitudes and collaboration) and psychological integration (e.g
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population health. The student will have the opportunity to attend the structured Early Detection Training Programme (run in partnership with the Alliance for Cancer Early Detection (ACED)), providing PhD