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construct novel CAR-T cell therapies, including vector design, gene editing, and the development of innovative receptor constructs. In Vitro and In Vivo Studies: Conduct a wide range of experiments to assess
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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the field of natural products, supported by a proven track record of successful interdisciplinary collaboration. * Significant experience means two (2) to five (5) years of experience. Condition of Employment
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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researchers in multi-investigator or multi-disciplinary scientific projects. Condition of Employment Reliability Status For a Reliability Status, verification of background information over a period of 5 years
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practices. Qualifications: A PhD in the Social Sciences or the Humanities. Strong research and writing skills, demonstrated in the publication of multiple peer reviewed journal articles. Deep familiarity with
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View All Awards Deadline Likely in September 2025 Value $18,000/year for two years Citizenship Canadian Permanent Resident International Degree Level Doctoral The Canadian Institute for Military and
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MSc/PhD Position at the Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
research project focused on exploring the immunometabolic pathways of macrophages and microglia in multiple sclerosis (MS). The Kaushik Lab is committed to fostering an inclusive and equitable research
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 3 hours ago
to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the hiring team using the contact
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs