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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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similar degree with an academic level equivalent to a two-year master's degree. You are highly motivated to help solve the global energy problem and you want to work in a big, diverse research project
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Physiology and Phenomics” at the Department of Plant and Environmental Sciences. The research group is currently composed of the PI, two postdocs (two more will be hired soon), a research assistant and a
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requirement. The applicant must be interested in working in an interdisciplinary research environment. The position includes close collaboration with project bioinformaticians developing genomic-based models
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research focus will include some of the following topics: Advanced sensor fusion and multimodal AI models for robotic intercropping. Self-supervised learning will generate multimodal agricultural pre-trained
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national center for AI research. Your competencies • Master's degree in one of the subfields of AI • Experience in programming and deep learning frameworks • A creative mindset and curiosity
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applicant must be interested in working in an interdisciplinary research environment. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally
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The Department of Animal and Veterinary Sciences calls for applications for a position as a research assistant from 15 September 2025 or as soon as possible thereafter. The position as research
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in