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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
, Engineering Physics, Physics, Mathematics, or a related field Salary group E13 TVöD Temporary contract untilfor 24 month Full-time / suitable as part-time employment The Bundesanstalt für Materialforschung und
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To strengthen our team in the division “Acoustic and Electromagnetic Methods” in Berlin-Steglitz, starting 01.04.2026, we are looking for a PhD student (m/f/d) in the field of physics or engineering
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qualifications Responsibilities: Combine enzyme and process engineering supported by machine learning as described above Participate in training events, workshops and secondments within MSCA doctoral network
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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, United Kingdom Supervisor: Dr. Ivana Savic Focus: computational materials modelling Background: physics, computational materials science. or a closely related discipline Apply: https://mgician.eu/research/doctoral
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
. candidate will be part of the Section for Physics . Application deadline: 11 May 2026 at 23:59 hours local Danish time Please see the full call, including how to apply, on www.sdu.dk
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within materials science and engineering. Use cases will be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD
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with the supervisor. Qualifications We are seeking a candidate with a strong computational and theoretical background and an interest in applying physics-based modeling to problems in pharmaceutical
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning