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Field
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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The Laboratory of Neural Stem Cells, led by Professor Hongyan Wang, Acting Director of the Neuroscience & Behavioral Disorders Program at Duke-NUS Medical School, Singapore, is seeking talented and
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About us Applications are invited for the position of a Research Associate to join the Bendor Lab within the Institute of Behavioural Neuroscience at University College London, led by Prof. Daniel
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) Country United Kingdom Application Deadline 9 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Qualifications: We are seeking an independent individual who has completed their PhD in the field of neuroscience, brain imaging science, or a related discipline within the last three years, who has demonstrated
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, undergraduate researchers) on specific research projects Qualifications: We are seeking an independent individual who has completed their PhD in the field of neuroscience, brain imaging science, or a related
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Qualifications: We are seeking an independent individual who has completed their PhD in the field of neuroscience, brain imaging science, or a related discipline within the last three years, who has demonstrated
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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models. The Sutton Lab is housed within the Michigan Neuroscience Institute (https://medicine.umich.edu/dept/michigan-neuroscience-institute ) in the Interdisciplinary Taubman Biomedical Sciences Research
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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning