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Fellows, 3 PhD students, 1 Masters student, and 2 Undergraduate Research Assistants. More experienced group members engage in mentorship of newer researchers in a team environment that often involves group
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for your first independent position and grant or identify connections into the healthcare or private sector to kickstart your next career move. You will be mentored by Dr. Philipp Lange, PhD (Canada Research
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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The fellowship program has an outstanding reputation for attracting the best and the brightest PhDs in the sciences and for training future leaders in Climate and Global Change Science. In FY25
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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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science, etc. and with a background in sustainability, climate change, or energy studies. Experience in community engagement and/or qualitative methods (workshop design, interview and survey, focus groups
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applicable and mutually agreed upon with your supervisor. Candidates must hold a PhD, obtained within the last 5 year or MD, obtained within the last 10 years. Candidates should have a strong research
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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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-methods approaches for analyzing and reporting research findings would be ideal. The postdoctoral fellow can expect to work with pregnant persons, parents of new infants, and other sub-populations