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the possibility of extension and career growth contingent on performance and funding . Essential Duties and Responsibilities: Work collaboratively with computer scientists, computational scientists, applied
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a master's degree in Computer Science or related fields1; Be a student enrolled in a doctoral program in Computer Engineering or Computer Science or in an advanced training course - a requirement to
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Environnement PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136095 Requirements Specific Requirements Profile The candidate should have a solid background in
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world. The Electrical and Computer Engineering Department and NYU Nanolab host a growing interdisciplinary research program in superconducting and semiconductor-based quantum technologies, with strong ties to national
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the Wallenberg Centre for Quantum Technology (WACQT), a 10-year initiative launched in 2018 to advance Swedish academia and industry in quantum technology and to build a Swedish quantum computer. In our research
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Models LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer architectureTechnology » Computer technologyEngineering » Electronic engineeringYears of Research Experience1 - 4 Additional
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talented and dedicated PhD student with a 1st class or 2:1 degree, or good master’s degree, in a social science field such as behavioural science, human computer interaction, psychology, human geography
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or professor positions. Required Qualifications: Applicants must have received a PhD in electrical engineering, computer engineering, mechanical engineering, material science, applied physics, or a related field
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Computer Engineering, please visit https://ece.au.dk/ See more about our activities on LinkedIn: https://www.linkedin.com/company/au-ece What we offer The department offers: a well-developed research
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science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning