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Field
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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knowledge of the Boltzmann and quantum Boltzmann equation as well as stimulated Brillouin and Raman scattering. General: Knowledge of scientific programming language(s) and computer simulation
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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the terms of the research grant when extending an offer. The ideal candidate will hold a PhD with research experience in Computational Science and Artificial Intelligence, and a track record of peer
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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journals in the field. Participate to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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(model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion) in computer vision or robotics or biomedical image analysis. Knowledge