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the project fits the scope of Baekeland mandates. Every year in January there is an information session at which the VLAIO programme coordinator explains the modalities of the call. The exact date and link for
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exacerbated by unsustainable management practices and the impacts of climate change, representing €50 billion lost yearly due to soil degradation. The EU Soil Strategy for 2030 outlines a bold vision to ensure
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(IRDs) are an important cause of early vision loss and blindness. Among these, mutations in the PRPH2 gene are particularly common and affect up to 200,000 patients worldwide. However, PRPH2-related
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computing/GPU clusters and the robot labs. You will work towards a PhD degree. Engaging with scientific and technical research at PhD level, publishing and engaging with colleagues, both nationally and
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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(or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, or a related field