215 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs in Denmark
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inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation and maintenance prediction and integrate analytics
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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these experiences teach them lessons about their own fit in politically powerful positions. The two positions advertised in this call focus primarily on the second work package. The YOPOW research project runs
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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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100 university. Aarhus BSS has achieved the triple-crown AACSB, AMBA and EQUIS Further information If you have any questions regarding the position or want to learn more about the project and specific
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full-time (37 hours) contract, in 10 months. The candidate will conduct cutting-edge research in Human-Computer Interaction, with a focus on novel interactive technologies, including conversational
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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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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
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication