211 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in Denmark
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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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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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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology
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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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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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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