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of Excellence boasting world-class facilities and advanced nanofabrication capabilities. WHEN? Planned start date: Late 2025 / Early 2026 REQUIREMENTS: (1) Master's degree in Physics, Nanotechnology, Materials
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information
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-22 eV or better, and powerfully test the Standard Model of particle physics. They further constrain CP-violating new physics at scales of 10-100 TeV, far beyond the reach of the LHC. The TUM and the
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and determination? We are currently seeking a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Job vacancy starting: 01.10.2025 | Working hours: 30,00 | Classification CBA
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research. We are looking for a motivated and ambitious PhD candidate
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and determination? We are currently seeking a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Job vacancy starting: 01.09.2025 | Working hours: 30,00 | Classification CBA
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an