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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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(at least two tapeouts) as proof of concept. Explore ONN implementation topology and its power, performance and area. Collaborate with team members in NanoComputing Research Lab. Communicate clearly, both
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, please see DTU PhD Guide . The assessment of the applicants will be made by Associate Professor Kaushik Das, Senior Researcher Matti Koivisto, Postdoc Rujie Zhu and Head of the RES section Gregor Giebel
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are responsible for visa-related costs (e.g., CAS issuance, ATAS clearance if applicable, NHS fees) Be prepared for bench fees and other course-specific costs—check your school’s details Key details at a glance
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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documents: Curriculum Vitae; proof of enrollment in a PhD on Mechanical Engineering. Applications must be submitted to the email: joaochenriques@tecnico.ulisboa.pt Mention of support and dissemination
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(archival materials, oral histories, scholarly literature, etc.) Curriculum Vitae (max. 3 pages) Proof of enrollment / acceptance in a doctoral program at Charles University, or a statement of intent to apply
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collaborators and partners Requirements a Ph.D. degree in physics, and adequate postdoc working experience; strong theoretical/computational background in one or more of the following areas: twistronics & moire
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related discipline, encompassing a minimum of 240 ECTS (in most cases this corresponds to 8 semesters) Proof of English proficiency Very good academic record Strong scientific motivation, to be shown by
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, biophysics, biomedical sciences, bioinformatics, experimental and theoretical biophysics, (physical) chemistry, and applied mathematics; two letters of recommendation and a proof of English proficiency. See