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Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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Post Doc Res Assoc Job Summary The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins
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the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Our aim is to trace
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scalable experimental and computational approaches is hence considered a big plus. Experimental technologies will cover (but are not limited to) single-cell technologies, massively parallel genetic
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technologies, massively parallel genetic perturbations (deep mutational scanning), spatial biology, functional genomics, or highly scalable biochemical experimental strategies. In addition to providing access
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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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simulation environments and real-world deployments with the nano-drones of the University's SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 18 days ago
Canada Impact+ Research Chairs program . This national initiative is designed to recruit world-leading scholars whose work addresses critical global and national challenges and who are poised
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processes and understand their impact on survival, infection and resistance. We have developed approaches to study multiple bacterial pathogens in parallel, with a primary focus on Klebsiella pneumoniae and
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. These priorities closely parallel Lakehead University’s own research priorities and strengths and are reflected in the university’s Strategic Research Plan . Applications must demonstrate how the proposed program