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University of Chinese Academy of Sciences (UCAS), International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) Position ID: UCAS -International Centre for Theoretical Physics Asia-Pacific
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 6 days ago
interaction for chemistry and materials. Overall, we aim to unravel and apply fundamental physical principles to create and control novel states of matter with light. For the ERC Synergy project “Unravelling
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Unit -POSTDOC1 [#30256] Position Title: Position Type: Postdoctoral Position Location: Onna-son, Okinawa 904-0495, Japan [map ] Subject Area: Physics / Theoretical Physics Appl Deadline: 2025/10/31 11
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guidance and support for employees, doctoral candidates and students Your Profile: Master`s degree with subsequent PhD in theoretical physics or a similar field Background and strong interest in developing
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04.06.2025 Application deadline: 30.06.2025 The Theoretical Particle Physics Group at the Institute for Theoretical Physics at Tübingen University invites applications for the position of a
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from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by Helmut Grubmüller is inviting applications for a PhD
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of new methodologies to discover new
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Qualifications -Postdoctoral associate applicants must have a background in quantum information and hold a Ph.D. in Theoretical Physics, Theoretical Quantum Chemistry, or a closely related field. PhD must be
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a formal qualification, you must hold a PhD degree (or equivalent). Special consideration will be given to candidates with: A background in theoretical photonics or condensed matter physics First-rate
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physics (e.g., Turing patterns). This will involve: (i) developing new analytical/theoretical tools for the study of reaction-diffusion systems, (ii) performing large scale, machine-learning-assisted