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development and target discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by
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) are not counted towards work experience in determination of eligibility. Doctoral students who do not hold a master's degree (i.e., proceeded directly from Bachelor's to PhD, or have "fast-tracked
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by the time of
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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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Are you a Canadian PhD student with expertise on China interested in bridging academia and foreign policy? Department: Global Affairs Canada - Centre of China Policy Research and Coherence - OPR
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vitro and in vivo experiments using advanced molecular and cellular techniques, ● Analyze and interpret data from preclinical models and human samples to identify potential therapeutic targets, ● Publish
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research proposals and implementing data collection and analyses. Share findings with health system and community partners (through meetings, summary briefs, presentations), present at public health and
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative