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Field
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, with emphasis on back pain, intervertebral disc degeneration, the prefrontal cortex and epigenetics. The successful candidate will benefit from the UMN’s strengths in pain research, neuroscience and
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on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and
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Qualifications - PhD in neuroscience, computer science, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading
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experience working in MATLAB and / or Python and experience working with either EEG or fMRI. Ideal candidates will have a background in Psychology, Psychiatry, Neuroscience, Cognitive Science, or Biomedical
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life of CNAP (e.g., research meetings, Round Table Meetings, seminars, social activities). Develop a solid background in pain neuroscience that will allow you to foster a curious and critical sense
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Requirements: Required expertise includes strong knowledge of sensory neuroscience and expertise in at least one of the imaging methodologies involved in the project (OCT-A, structural MRI, fMRI, dMRI, ASL
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data