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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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generated. Required Qualifications PhD in neuroscience, developmental biology, or related field Strong expertise in mouse neurodevelopment (mandatory) Skilled in histology, immunofluorescence, and molecular
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PhD in ecology, remote sensing, environmental sciences, or a related field is required at the time of appointment. Experience: The ideal candidate will have a track record of working independently
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skills) *: PhD. Education/experience requirements*: PhD. Additional qualifying skills and abilities*: Strong analytical research skills to gather, document, and analyze information obtained through
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Masters and PhD students. Acts as a resource to various research team members to identify real or potential problems and works to resolve these issues. Reviews other study protocols as assigned, and discuss
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
undergraduate and graduate students. Qualifications/Requirements of Position PhD in epidemiology or allied health disciplines in less than 2 years after graduation. A track record of research and publications in
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, manuscript writing, presentations for submission to selected journals/conferences and grant proposals. Acts as a mentor and resource to Masters and PhD students. Acts as a resource to various research team
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in regular team meetings and contribute to data analysis discussions. Work can be completed remotely/hybrid Qualifications Enrollment in a PhD program in education, social sciences, or a related field
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Supervisor: Joann Whalen, PhD Department of Natural Resource Sciences Position Summary: Responsible for: Collecting and processing samples (plant, soil, water, greenhouse gas) from field experiment sites