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supervisors will be Dr Catrien Notermans, Dr Sonja Marzi, Dr Elke Linders. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD
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professionally. Learn more about your project at the Model-Driven Decisions Lab . Job requirements You hold an MSc in computer science, data science, or another relevant subject such as ethics of AI, with
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
ideas), how you would apply your existing knowledge to the project, and what new skills or knowledge you hope to learn to complete the project successfully; Higher education certificates (incl. courses
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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emerged as a new learning paradigm in AI. These models learn from large datasets through self-supervision and have proved to generalize across many applications. Successful examples of foundation models
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) Teuling. Where to apply Website https://www.academictransfer.com/en/jobs/362684/phd-position-water-mediated-coo… Requirements Specific Requirements You hold (or are about to complete) a Master's degree in
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Chemistry, Atmospheric Dynamics, Desertification and Land use, and many other subjects. You will be co-supervised by Dr. D. (Dragan) Milosevic and Dr. G.J. (Gert-Jan) Steeneveld. Where to apply Website https
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models are increasingly used in plant breeding and crop improvement pipelines. But training such models on private genomic data carries a risk: rather than learning general rules of sequence-function
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ability to learn quickly is also essential. Furthermore, you bring: Master’s degree in Medicine, or expected to be obtained in the near future. A strong research interest, as evidenced by a master’s thesis
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), University Utrecht (NL), SciCross (SE), RD –Néphrologie SAS (FR), University of Bern (CH). For more information: https://www.cordis.europa.eu/project/id/101225380 Doctoral project (Promotors: Prof. Dr. Joachim