103 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in Denmark
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1.1.2027 or as soon as possible. Job description You will be contributing to/establishing/developing an in-situ imaging system for NH3. You will be further developing optical NH3 sensors in the laboratory
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department under the Faculty of Science & Technology at Aarhus University. Our work spans fields from physics, chemistry, microbiology, molecular biol-ogy, and mathematical modeling to social science
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for candidates with a PhD from another university than Aalborg University. The positions are open to outstanding candidates who wish to develop and lead their own independent research project within one
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more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
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for candidates with a PhD from another university than Aalborg University. The positions are open to outstanding candidates who wish to develop and lead their own independent research project within one
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respective contributions to albedo. The selected candidate will take on several duties, including: Contribute to, and develop, research in environmental microbiology across cryospheric systems, with a focus on
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sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international, with a
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Post Doc position in transition metal catalysis and carbon capture Are you interested in combination of transition metal catalysis, and can you contribute to the development of materials for CO2
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product analysis developing new solutions and technologies for HTL product separation at pilot scale Troubleshooting, modification, maintenance and carrying out improvements and upgrades on existing HTL-WO
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
background. Project The rapid development of Generative AI (GenAI) promises increased productivity but comes with a lack of transparency. HAIC-III offers an analytical, theoretical, and practical research