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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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, multidisciplinary approach to robot design and control, and the development of novel robotic components and technologies for applications in medical, surgical and rehabilitation robotics, exoskeletons and force
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implementing monitoring, visualization and control system to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically interacting with
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Advisor: João Miguel Da Costa Sousa (ist12897) Organic Unit: Scientific Area of Control, Automation and Industrial Informatics Scholarship Theme: Controlo localizado de vegetação com recurso a equipamentos
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may play in stress responses, below-ground processes and pollination. The research combines controlled experiments, advanced measurement and multiphysics modelling, and will generate open datasets and
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controlled trial was conducted over a period of three years and was led by Principal Investigators Veslemøy Rydland and Ratib Lekhal. For more information, see the project website . The data collection has now
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compounds produced by wheat, using controlled growth chamber experiments, microcosm studies, and in vitro assays. Develop and optimize microbial BNI screening methods, including whole-cell bioreporter assays
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or qualifying to apply for a Chinese Medicine Practices license; Experience managing randomised controlled trials in therapeutic research for Gastrointestinal diseases is preferred; Experience with ICH-GCP
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NIBIO 10th April 2026 Languages English Norsk Bokmål English English Research fellow - Weed control and biology Apply for this job See advertisement Key Information We are looking for a person who
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale