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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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: 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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deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects include modeling of bulk and single-cell
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international scholars. Postdoctoral Fellows receive $80,000 each year in salary, $1,000 each year in dedicated research funds, and Notre Dame benefits. Note: This opportunity is only for postdocs working on love
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applications. Mentor junior researchers and contribute to a collegial lab environment. Qualifications and Requirements PhD in Molecular Biology, Genomics, Cancer Biology, or a related field. Strong background in
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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 In particular, the characterization of new (unpublished) transgenic models to study SENP1 (e.g. PMID: 38184650) The development of novel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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Mechanical, Biomedical, or Electrical Engineering, or a related field. Demonstrated experience with sensor design and finite element modeling (e.g., ANSYS, COMSOL). Familiarity with fiber optic sensing
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that can change the world. Postdoctoral Fellows at UBC Vancouver UBC is home to over 900 postdocs spanning all faculties and units across two campuses and a variety of affiliated hospitals, research centres
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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