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Field
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Senior Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Doctoral Degree (or foreign equivalent) in Physics, Computer Science, Computational Neuroscience
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: The School of Neuroscience is UK’s 2nd largest Neuroscience school with over 500 researchers and 200 PhD students. It is one of three
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neuroscience community, and there are opportunities for collaboration between departments, institutes, and Universities involved in the project. The primary appointment is in Biomedical Engineering and/or
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Ph.D. in electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from
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green engineering (simple device structures, solution-processed electrodes, green solvents and overall ease of manufacture). You will also continue our research efforts on the design, fabrication and
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the Human-Centered Artificial Intelligence Institute, bringing together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights
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multimodal data fusion", working with Prof. Marios Philiastides. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced
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at conferences and contribute to high-impact publications. Qualifications Required Qualifications: PhD in Biomedical Engineering Preferred Qualifications: Some neuroscience coursework About the Department
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are an interdisciplinary team spanning engineering, neuroscience, developmental biology, genetics, applied math, and physics — united by curiosity and a drive to understand how the brain coordinates whole-body physiology