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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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investigators. Conduct medical screenings for employees who work with animals or in animal-use areas. Review daily symptom monitoring logs (online and paper) for employees enrolled in the select agent/Biosafety
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candidates are research driven, organized, and would like to work on challenging problems and innovative solutions. Demonstrated skills in machine learning, neurosymbolic programming, multi-agent systems
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Laboratory (https://alumkal.lab.medicine.umich.edu/) at the U of M Division of Heme-Onc and the Rogel An exciting opportunity has been created for an experienced researcher to join the Alumkal Laboratory
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expertise across autonomy, machine learning-based control, multi-agent systems and Decision-making. Excellent communication skills (both written and oral) with ability to communicate complex and conceptual
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reinforcement learning, generative learning (e.g., foundational models) applied to multi-agent systems and/or human-AI interaction. Grade 7 salary £45,103 This role is an open-ended contract with a funding end
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excellence in patient outcomes, innovation, and adherence to national quality standards. This breadth of services enables the team to deliver highly specialized, multi-disciplinary care to a diverse broad
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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with a doctoral degree. Start date: 1st of May 2026 Project description The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research
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, the Eurobiomed competitiveness cluster, the Infectiopôle Sud Foundation, the Parafrap Laboratory of Excellence, the FHU-TIE (Fédération Hospitalo-Universitaire -Triangulation between the host, Infectious agents