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of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials science or similar. About us The Brummerstedt Iversen group is a diverse and competent team of students and
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Are you analytically sharp and interested in how artificial intelligence can support learning and teaching? Then we have an exciting opportunity for you at Aarhus BSS. We are looking for a student
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at the Faculty of Medicine. Who we are The Department of Health Science and Technology (HST) at Aalborg University is an interdisciplinary research and teaching environment where engineering, medicine and health
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who is ready to develop an independent research profile, contribute to high-quality teaching across several programmes, and take an active role in the daily life and long-term development of the Visual
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problem-based learning environment, while contributing to an active research community within artificial intelligence and computer vision. The position is a permanent full time position (37 hours per week
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of Power-to-X processes for renewable fuel production. The project is primarily rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will
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. The duration of the position is three years. The Department of Health Science and Technology (HST) at Aalborg University is an interdisciplinary research and teaching environment where engineering, medicine and
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
The Astroparticle and Dark Matter group at the Center for Cosmology and Particle Physics Phenomenology (CP3) at the Department of Physics, Chemistry and Pharmacy at the University of Southern
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peer-reviewed publications, conference contributions and internal CENSEMAT activities, and contribute to the development of shared and reproducible computational workflows. Your profile Applicants must
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this context, energy sector organizations are turning to AI to forecast, balance, and manage critical infrastructure, while also responding to new regulatory frameworks such as the EU AI Act. ORBIT examines how