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Innovative Computer Architecture group and become part of the CogniGron research centre as well as the NL-ECO project. Where to apply Website https://www.academictransfer.com/en/jobs/354943/phd-in-simulators
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PhD candidate, you will contribute to both aspects, from studying the brain’s control of movement to applying these insights in the development of closed-loop brain–computer interfaces aimed
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explore how artificial intelligence can be used to predict the response to therapy in cases of acute rejection of the kidney graft. Using machine-learning techniques, you will assess kidney transplant
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in team work and collaborations with other PhD candidates, both in the group and internationally. You have a genuine multidisciplinary interest in the intersection of machine learning and neuroscience
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, materials science, or computer science with an interest in complex materials for computing and learning. Excellent candidates with training in any area of science or engineering will be considered. PhD
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like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Does this sound like you? You hold a Master’s degree in neuroscience
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pathology applications, including the assessment of kidney biopsies. The innovative application of machine learning in clinical settings creates a vibrant and inspiring research environment. You will be part
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doctoral projects will work on enzyme design, bioprocess design, and machine learning tools to create sustainable bioprocesses. PhD project In this project, you will work on designing a scalable bioprocess
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for science). We do so by bringing together a diverse team of PhD candidates who will focus on three key areas: 1. Probabilistic and differentiable algorithms for machine learning; 2. Programming language
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this position, the chosen candidate will conduct research on how machine learning techniques or XAI can be leveraged by heuristic algorithms, or conversely, how heuristics can be enhanced by incorporating machine