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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills
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institutions, CIHI serves as a hub for translational informatics innovation across North Texas. https://cihi.uta.edu/ The Institute of Biomanufacturing and Precision Medicine for North Texas (IMPRINT), first
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and systems neuroscience to computational neuroscience, physics, and optics. This interdisciplinarity forms the basis of our close and collaborative working environment. We place great emphasis on team
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Computer Science, Mathematics, Physics or a related field Knowledge in Neuromorphic Computing or Computational Neuroscience is a plus Experience in mathematical modelling Excellent programming skills and experience
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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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degree or international equivalent, in a subject relating to engineering, neuroscience or computer science. Further qualification such as an MRes is advantageous. The candidate must have/be willing
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humans, a high field small bore animal scanner, dedicated confocal and electron microscopy facilities, as well as cutting edge equipment to measure dynamic social signals. A PhD programme in Neuroscience
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- 10 Additional Information Eligibility criteria Key competencies: PhD in cognitive science / cognitive neuroscience with experience in cognitive neuroimaging; Programming languages / software
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… Requirements Research FieldBiological sciences » Biological engineeringEducation LevelPhD or equivalent Skills/Qualifications We welcome applications from researchers who: Hold a PhD in neuroscience, biomedical
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qualifications at the time of hire. PhD or equivalent Relevant doctoral experience in neurobiology Experience with mouse necropsy including hippocampal isolation. Experience with relevant molecular neuroscience