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. This collaboration fosters a strong interdisciplinary environment across institutions, leveraging complementary expertise in statistical genetics, biomedical data integration, and computational method development
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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genetic screen (e.g., metabolic pathway, mitochondria structure) 2) Understanding the role of innate immunity during leukemogenesis as well as disease relapse in order to design novel inhibitors
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
Medical Genetics, Faculty of Medicine Faculty of Medicine University of British Columbia Successful candidates will join the laboratory of Dr. Bruce Carleton and the multi-centre research team
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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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Hospital are seeking a highly motivated postdoctoral fellow with a passion for computational biology and genomics. The postdoc candidate will be jointly mentored by Drs. Khoshkhoo and Huang. The position
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science into benefits for human health and the economy. About the role… The Genetic Mechanisms of Disease lab is a dynamic, supportive and highly collaborative research group which studies how common
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strong interdisciplinary research in areas such as genetics, neuroscience, and brain imaging. The postdoctoral fellow will become a part of the department’s profile area: Brain, gene, and environment
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leukemia. The applicant should have a doctoral degree in Biology, Molecular Biology, Genetics, Immunology, or related field, and a strong interest in blood/cancer research. The applicant should also have a
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creative Postdoctoral Fellow to join our multidisciplinary team dedicated to investigating the causes and consequences of somatic mutations in cancer. Our lab integrates cutting-edge computational and