57 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Technical University of Denmark
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Job Description Are you passionate about quantum physics and how to teach it? Do you have lab experience in quantum optics and do you like an engineering challenge? Would you like to play a key part
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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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about the Department of Wind and Energy Systems at: https://wind.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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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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including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Representative
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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