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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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Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python
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SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CAR...
different cryostats. Is Your profile described below? Are you our future colleague? Apply now! Education · MSc degree in physics or quantum technology. Experience and skills · Excellent
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. In the departments
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[GEM] Coordinator: prof. Brunella Franco Info: gem[at]ssmeridionale.it Mathematical and physical sciences for advanced materials and technologies [MPHS] Coordinator: prof. Nicola Fusco Info: mphs
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? Are you our future colleague? Apply now! EU or NATO citizenship Education PhD in Materials Science, Physics, Chemistry, Surface Engineering, Nanotechnology, or a closely related field Experience and skills
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more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here . Natural Science Research – Interdisciplinary Strength The Department of Physics, Chemistry and Pharmacy
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
and knowledge in physical chemistry or solid-state physics You will primarily work at DTU Chemistry with some experiments taking place at the collaborating institutions. The overall project is conducted
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods