275 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "WENZHOU KEAN UNIVERSITY" uni jobs in Denmark
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Langelandsgade 140, 8000 Aarhus C, and the area of employment is the Department of Chemistry, Aarhus University and related departments. Further information about the position may be obtained from Associate
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integrated circuits, which may include: design, simulation, and experimental validation of analog and mixed-signal integrated circuits and systems; low-power and high-performance data converters, sensor
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with teamwork in a great team Additional information Your place of work will be the AU International Centre at Høegh Guldbergs Gade 4a in Aarhus. The position is paid according to state agreements. Who
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development, supervision, and external funding initiatives. What we expect Applicants must hold a PhD in Energy Informatics or in a closely related field such as Artificial Intelligence, Data Science, Computer
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within SDU NAT's External Relations Team Coordination of SDU activities for the Center for Pharmaceutical Data Science Education , a cross-institutional initiative funded by the Novo Nordisk, Lundbeck, and
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conducting various types of experiments on seeds of diverse crops. Experience of image analysis, and analysis of seed longevity and germination data will be an advantage. You should have good organizational
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
: Working in the Protein Research Group, you will collaborate with Danish and international researchers, students and data scientists. Your Academic Profile: Qualifications: A MSc or PhD degree (or equivalent
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more about the department at www.es.aau.dk. Your work tasks The PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic
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Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Tenure Track Assistant Professor/Associate Professor in electronics
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted