295 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" uni jobs in Denmark
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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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Aarhus University, and the place of work is Department of Biological and Chemical Engineering, Aabogade 40, 8200 Aarhus N., Denmark. Contacts Applicants seeking further information regarding the PhD
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Develop machine learning interface for Daisy to improve support for data-driven process modeling We expect You Hold a master’s degree in computer science, preferably a PhD with postdoc experience
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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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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
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employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique
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employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique
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Professor in AI-driven patient stratification and microbiome-based interventions (combined position)
data Explorative Network) , Odense University Hospital (OUH), respectively. The position is vacant as soon as possible, and the two 50% positions are considered as one entity (= full-time). Job
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we expect: Qualifications The candidate must have a PhD degree at the time of employment. We value candidates who combine strong experimental skills with an ability to integrate data-driven approaches