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Field
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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and PhD students) and openly share expertise knowledge with team members (e.g. Post-docs). Collaborate with other two post-docs working in this research programme, to deliver on project aims. Contribute
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degree in Biological Sciences, Neuroscience, Pharmacology or Physiology and Biophysics required; Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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. Qualification Standards Education: PhD or MD degree (or equivalent) in any field in the life sciences is required, a degree in molecular/developmental biology or neuroscience is preferred. Successful experience
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a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR
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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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large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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(can be concurrent with PhD) Preferred Qualifications: • Experience and expertise relevant to neuroscience, musculoskeletal biology, pain research or genetics/epigenetics/transcriptomics. • Experience