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DTU Physics invites applications for a position as Full Professor in Quantum Technology based on ...
obtained from Professor Ulrik Lund Andersen [email protected] You can read more about DTU Physics at https://physics.dtu.dk/ If you are applying from abroad, you may find useful information on
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
. You can read more about DTU Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
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categories Discipline Engineering , Physics Job Type PhD Position Employment - Hours Full time Duration Fixed term Qualification Masters Sector Academia Apply on website (This will open in a new window
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, Physics Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically
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www.vision.dtu.dk and DTU Physics at https://physics.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore
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, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and
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enrolled as a PhD student at the PhD School at the Faculty of Engineering. What we expect Candidates who hold a master’s degree in a relevant field (chemistry, material science, physics
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field of Natural Sciences (e.g. Geophysics, Physics, Geosciences, Geology, Geography, or similar). Experience with radar measurements, remote sensing, glaciology, or scientific programming is an
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degree programs at Aarhus University, especially but not exclusively related to AI, https://digitalcurriculum.au.dk in collaboration with colleagues from CED and NAT Join as a co-teacher in a few of the
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academic and industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow