270 data "https:" "https:" "https:" "https:" "Inter University Center for Japanese Language Studies" uni jobs in Denmark
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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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Partner Programme . You can also find information about the taxation aspects of international researchers’ employment by AU . An appointee who does not speak Danish will be required to acquire proficiency
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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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-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
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highly skilled employees. More information can be found here . What we offer Work with advanced analysis equipment An exciting interdisciplinary environment with close collaboration between laboratory
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workflows related to biofuels and added-value compounds production Structure experimental data and information, including budgets and forecasts Coordinate effective communication among research teams
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in the fields of: Construction Management and Lean Construction. Production Planning and Control. Data-driven analytics and management of construction operations. Construction Informatics, including