258 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" research jobs in Denmark
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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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, childcare, schools, and a welcoming international community. Learn more about living and working in Odense here: https://investinodense.com/career-in-odense/ https://investinodense.com/why-city-of-odense
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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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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provides excellent opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application
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Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and education in
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research portfolio, please visit our website at: https://www.sdu.dk/en/forskning/dache Employment Appointment to the position will be in accordance with the salary agreement between the Ministry of Finance
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
deadline March 22, 2026, at 23.59 hrs. (CET). Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3684/?lastSelectedFacet=CATEGORIES