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Field
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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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Biological Sciences / Neuroscience. Experience in neurobiology or translational neuroscience setting and/or computational biology. Strong communication and interpersonal skills. Time management and
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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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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Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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to dissect the molecular and cellular mechanisms underlying human pathologies in fields ranging from cardiovascular medicine to neuroscience, from immunology to cancer and microbiology, with the final goal
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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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. The ideal candidate will have a strong interest in translational biomedical engineering and a desire to develop their own independent research program in this area. Experience in areas such as in vivo