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www.torontomu.ca , check out @TorontoMet (external link, opens in new window) and @ECItorontomet (external link, opens in new window) on X, and visit our LinkedIn company page (external link, opens in new window
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appointment. This post will support the delivery of the Genetic Links to Anxiety and Depression - Mental Health Goals (GLAD-MHG) Study, one of the UK's most ambitious precision psychiatry initiatives, hosted
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, ideally within the Northern Ireland context including linked administrative data, and routinely collected health, environment, and other relevant environment-related data. Substantial, recent, relevant
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educational environment, visit www.torontomu.ca , check out @TorontoMet (external link, opens in new window) and @ECItorontomet (external link, opens in new window) on Twitter, and visit our LinkedIn
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appointment. This post will support the delivery of the Genetic Links to Anxiety and Depression – Mental Health Goals (GLAD-MHG) Study, one of the UK’s most ambitious precision psychiatry initiatives, hosted
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, ideally within the Northern Ireland context including linked administrative data, and routinely collected health, environment, and other relevant environment-related data. Substantial, recent, relevant
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to the work of ADRC NI (e.g. population-based research or epidemiological research focussed on population mental health) Substantial, recent, relevant experience working with complex linked administrative data
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offer you, follow the link below to our benefits website This role is full time (36.25 hours), fixed term for 1 year. Further information is available in the role profile. To apply for this vacancy please
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with Traditional Custodian peoples and/or organisations. Experience preparing human research ethics applications and applying Indigenous Cultural and Intellectual Property (ICIP) and Indigenous Data
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statement (PDF format) 4. Consent to Collection and Use of Personal Information (form available on the application page) 5. 3 recommendation letters For full consideration, applicants should upload items 1, 2