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harmonize different data streams. Lead and co-author manuscripts, reports, and presentations. Collaborate with interdisciplinary and international research partners. Qualifications PhD (completed or near
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: Advancing policy and programmatic research on the science of pandemic prevention and health emergencies (not lab-based) Supporting the design and evaluation of real-time data systems and pandemic prevention
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, including law, sociology, linguistics, political sciences, education, economy, social work, anthropology, etc. About the research group Activator: The successful candidate will join a newly formed research
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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external collaborators. Keep abreast of any new technical developments in the field and new software packages. Qualifications: PhD in molecular biology, computational biology, health sciences or related
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. Work closely with collaborators to align imaging, molecular, and therapeutic validation efforts. Qualifications PhD in Computational Biology, Genomics, Neuroscience, Biomedical Engineering, or related
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contaminants), food science, and food analysis. Proficiency in different areas of chromatography, high-resolution mass spectrometry and data analysis. At least two first-authored English papers (or three if co
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that postdoctoral researchers receive the guidance and resources necessary to thrive in both academic and applied research settings. Qualifications: PhD in Neuroscience, Psychology, Psychiatry, Biomedical Engineering
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Oceania. The ICCRP is funded by a seven-year Social Sciences and Humanities Research Council (SSHRC (external link) ) Partnership Grant, as well as a five-year Ontario Research Fund - Research Excellence