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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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in molecular biology and bioinformatics, with a focus on infectious disease and cancer models. Candidates must have a PhD in Immunology, Molecular Biology, Microbiology, or Vaccine Research. The ideal
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Project Overview: Foundation models have revolutionized natural language processing. These are models trained on broad datasets with powerful generalization tasks such as the GPT series. There have
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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of the following projects: The molecular regulation of insulin secretion. In particular, the characterization of new (unpublished) transgenic models to study SENP1 (e.g. PMID: 38184650) The development of novel
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lead the in vivo functional analysis of this gene using conditional KO mouse models, with a focus on brain development, neuronal differentiation, and seizure susceptibility. All models are already
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vitro and in vivo experiments using advanced molecular and cellular techniques, ● Analyze and interpret data from preclinical models and human samples to identify potential therapeutic targets, ● Publish
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healing. The Granville research program spans basic molecular biology and biochemistry through to target validation, proof-of-concept in animal and human models, and collaborations with clinicians and
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in molecular biology and biochemistry techniques are especially encouraged to apply Experience and a strong track record with mouse models of dermatologic, autoimmune, aging-related and/or chronic
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, or forest management. Project Overview The postdoc will contribute to the Silva21 research program, which aims to develop innovative strategies to enhance the resilience of Canadian forests in the face of