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engage in applied research within dynamic, interdisciplinary project teams. Together with your team, you will examine the economic impact of various policy measures on agricultural businesses, supply
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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between crystallization processes and the power output of a heat storage? Are you inspired by thermal storage solutions to boost the energy transition? Information In your project, you will contribute
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of Management currently has 400 FTE staff and around 5,000 students. The intended thesis supervisors are Dr S. Lenferink and Dr H. Kooij. This PhD project will be conducted at Spatial Planning, Department
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of the art, this design approach is showing all its limits when those symmetric primitives are used in new emerging contexts, such as rising applications of practical importance including Format Preserving
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candidate we are looking for! In this project, you will investigate how swarming behaviour has evolved across Diptera (flies and mosquitoes), one of the most ecologically and behaviourally diverse insect
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institutes. Your project will be embedded in the EMBRACER consortium. About EMBRACER At EMBRACER we work at the very frontiers of knowledge on climate change, Earth’s climate system and climate feedbacks
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potential single points of failure. In today’s landscape, many organizations rely on third-party DNS services without full visibility into what lies beneath. These managed services often depend on other
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well as observer studies, screening, radiation dosimetry, along with the design and performance of patient trials. Radboudumc Welcome to Radboud university medical center (Radboudumc), where scientific breakthroughs