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Field
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for interdisciplinary research and career development. Job candidates must… · Hold a Bachelor’s, Master’s, or PhD in Engineering, Physics, Math or Computer Science, or other Bachelor's plus equivalent relevant
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neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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, both theorists and experimentalists. Fellows will join our highly interactive group, with interests ranging from the dynamics of single molecules to neural computation, and from biochemical and genetic
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circuit-level and neural network-level simulations. The candidate will conduct research related to emerging magnetic nanotechnologies in order to enable computing hardware for brain-inspired computing. In
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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) Postdoctoral Researchers are Research Fellows recognized by the Quebec government employed at McGill with a valid Doctoral degree (PhD or MD) for a maximum of 5 years after obtaining their Doctoral Degree
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Job description Research You develop a research program at an international level in the design and implementation of electronic circuits and systems with a focus on neural interfaces (brain-machine