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Research Fellow, Systems and Computational Neuroscience Job No.: 676758 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $80,464 - $109,203
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form one of the most dynamic neuroscience communities in the world. For examples of our current directions, see: • Chou et al The Innovation 2025, www.cell.com/the-innovation/fulltext/S2666-6758(24)00173
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strong skills in data analysis, and have a strong background in the neuroscience, learning and memory, motor control, biomechanics, control theory, or a related field. Strong statistical understanding and
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. The associate will work with and liaise between collaborators in the Departments of Human Evolutionary Biology (Harvard/Cambridge), the Department of Neuroscience (Harvard/Cambridge) and the Martinos Center
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expected to participate in independent laboratory research and to write scholarly manuscripts. Qualifications Minimum Qualifications: Ph.D. in neuroscience, biomedical engineering, computer science, data
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international recognition of achievement within the field of molecular neuroscience Evidence of a strong publication record in high impact journals Ability to organise own work without extensive supervision and
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international recognition of achievement within the field of molecular neuroscience Evidence of a strong publication record in high impact journals Ability to organise own work without extensive supervision and
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international recognition of achievement within the field of molecular neuroscience Evidence of a strong publication record in high impact journals Ability to organise own work without extensive supervision and
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excellence and interdisciplinarity across the breadth of psychological and behavioural science. The Department’s research groupings reflect our major areas of activity: Cognitive Neuroscience, Developmental
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(collection and analysis) is a plus Qualifications ● Ph.D. in Cognitive Science, Public Health, Medical areas (e.g., Neuroscience), Psychology, Health Economics, or related disciplines ● Significant