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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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participation in seven network-wide events as well as secondments and collaborations, which entail travel to several different EU countries. YOUR MAIN RESPONSIBILITIES In the framework of the FADOS project, we
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
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networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain disorders caused by mutations in eight genes that together drive the secretion of chemical signals
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fully-funded PhD position within the Marie Skłodowska-Curie Doctoral Network DECADOCS – Decadence for doctoral studies. DECADOCS is the first European doctoral network dedicated to the study of decadence
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, at the Laboratory of Organic Electronics, Linköping University, is now seeking a highly motivated doctoral candidate to join the European Marie Sklodowska-Curie Doctoral Network FADOS. The successful candidate will
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different hardware backends. Design conventional (GPU-based) deep neural networks for comparison. Publish research articles, regular participation in top international conferences to present your work
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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral