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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 12 days ago
3 Sep 2025 Job Information Organisation/Company Koziarski Lab - The Hospital for Sick Children Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc
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the individual research program of the postdoctoral researcher, and supporting the high-precision U-Pb geochronological facilities PCIGR. The researcher will work closely with Dr. Corey Wall, the facility manager
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The Naveen Jindal Young Global Research Fellowship Programme is a prestigious, fully funded initiative that offers a unique one-year experience, comprising an eleven-month online component and a one
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citizenship (First Nations, Métis, Inuit), connection to an Indigenous community, a history and/or evidence of lived experience and an understanding of the Indigenous culture(s) and practices A PhD in Computer
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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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Fellow appointment with benefits. Term: Two years Qualifications: The ideal candidate would have the following skills and attributes: PhD in Statistics, Quantitative Ecology, Mathematical Biology
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the supervisor Qualifications A recent PhD in Mechanical Engineering or a related field, focusing on Thermofluids Experience in Numerical Simulation (Finite Element Analysis and/or Computational Fluid Dynamics
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in the laboratory QUALIFICATIONS Successful applicants will have: PhD with expertise in cancer biology, proteomics and/or computational biology / machine learning A proven track record with first