45 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at Technical University of Denmark
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Lund Andersen (ulrik.andersen@fysik.dtu.dk ). 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
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career paths at DTU here . Further information Further information may be obtained from Prof Vincenzo Esposito at DTU Energy, vies@dtu.dk - https://orbit.dtu.dk/en/persons/vincenzo-esposito/ You can read
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read more about the section of Plasma Physics and Fusion Energy at https://physics.dtu.dk/research/sections/ppfe . If you are applying from abroad, you may find useful information on working in Denmark
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Professor Martijn Wubs (mwubs@dtu.dk ), Dr. Jake Iles-Smith (jake.iles-smith@sheffield.ac.uk ) You can read more about the Department of Electrical and Photonics Engineering at https://electro.dtu.dk
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Professor Jonatan Bohr Brask (jobb@dtu.dk ) or Associate Professor Christian Majenz (chmaj@dtu.dk ). You can read more about DTU Physics at https://physics.dtu.dk/ and about DTU Compute
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www.kt.dtu.dk/research/dpc and https://www.kt.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 . Application procedure Your
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Boson Sampling machine. These ambitious projects all focus on addressing fundamental and technical challenges in photonic quantum computing using continuous-variable entanglement. The successful candidate
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Raza, sraz@dtu.dk . You can read more about our research on the Applied Nano-Optics webpage . You can read more about DTU Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may
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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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on Nanoparticles You will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include: Advancing equivariant neural network