233 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in Denmark
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Tech is seeking a knowledgeable and motivated part-time lecturer to teach and guide students in 22179 Module 3: Value creation in pharma- and biotechnology. The course focuses on how new discoveries and
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management and visions for teaching and learning will be evaluated. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are
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Application deadline March 15, 2026, at 2359 hrs. CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3666/?lastSelectedFacet=CATEGORIES
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responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department
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– is Denmark's largest science research and education institution with 4,000 employees and 9,700 Bachelor and master students in 12 departments. The faculty has an annual budget of DKK 3 billion. Learn
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optoelectronics and cryogenic device platforms in the context of artificial neural networks and neuromorphics. Information on the department can be found at: https://qdev.nbi.ku.dk/ Our research Our group conducts
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Analysis (CADA), which leverages the combined analytical efforts at the Department. Further information on CADA, as well as the Department and a description of the new research vision can be found at: https
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an excellent publication record within the fields and a demonstrated ability to develop and teach courses in Strategy, Innovation, and Marketing. The new professors are expected to spearhead the department's
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, creating impact at all levels while actively promoting the museum’s Vision and Values (https://snm.dk/en/about-museum). Further details of qualifications required for appointment at the museum are detailed
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole