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biochemical datasets. A major focus will be on introducing new AI models to chart the chemical “dark matter” of the mammalian metabolome; examples of such models include large supervised or self-supervised AI
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uses cutting edge cellular and molecular technologies combined with integrative, multidisciplinary approaches to address translational neurobiological questions in animal model systems, cell culture
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based, multiple instance learning, large language, and fusion modeling. A grounding in cancer biology or immunology. Collaborative, self-directed, and intellectually curious. Modes of Work Positions that
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epilepsies. They use a range of advanced genomic techniques including single-cell and spatial multiomic evaluation of epilepsy surgical tissue as well as iPSC-derived neural cultures and mouse models
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Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check
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letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who
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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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Cardiac Centre. The Epelman Lab is seeking a highly motivated postdoctoral fellow to join our laboratory to study mechanisms of cardiovascular disease using integrative mouse models of multi-morbidity. Our
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, performing threat modelling and code reviews, and embedding security throughout the software development lifecycle for both in-house and third-party applications. You will evaluate policies, standards
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(TBI). The research will use in vitro techniques and in vivo mouse surgery models. A solid wet bench experience is required. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular