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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 2 months ago
, reinforcement learning, diffusion, and flow matching, guided by practical considerations of high-throughput chemical synthesis. In addition to algorithm development, the candidate will have the opportunity
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
optimization and coordination algorithms for BC Hydro–cVPP interaction and evaluate grid performance through simulated case studies, and analyze service offerings and pricing via case studies and apply social
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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, biology, genetics laboratory experience is an asset Experience collaborating as part of a multi-disciplinary and international research team, and attention to detail for methodological documentation
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: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including Information
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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analysis pipelines (e.g., Seurat, Scanpy, ArchR). Prior exposure to high-throughput screening or pooled genetic perturbation methods. What we offer A supportive and collaborative research environment within
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facing difficult contexts and challenges. Note that work focused on genomics and/or genetic modification is not eligible. Further Information For complete eligibility criteria and application procedures
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systems, including isogenic knockouts, organoids and/or PDX systems Experience in the design and use of CRISPR functional genetics screening approaches and chemical library screening approaches will be