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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 12 hours ago
aging, vaccines, molecular biology, and immunology and immunotherapies. Applicants with a PhD or equivalent with an exceptional emerging research program in biomedical data science with application in
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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of manuscripts, presentations, and grant materials Participate in lab meetings and contribute to the scientific discussion Qualifications: PhD in Neuroscience and Pharmacology, or other related disciplines Prior
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technology development are deeply valued. Applicants must have earned a PhD in a relevant field with a clearly demonstrated record of excellence in research and teaching. We are particularly interested in
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processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with
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the presence of photosensitizers. Conduct imaging studies in giant unilamellar vesicles (GUVs) to validate the impact of deuterium content in the lipid membrane to mitigate the photosensitizer activity. Conduct
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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biomedical sciences). Examples of topics of interest include the investigation of fundamental biological processes at the molecular, cell or organismal levels; disease modeling and pathophysiology
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Nature Careers | Winnipeg Fort Garry NE University of Manitoba, Manitoba | Canada | about 2 months ago
of Manitoba is $8 million. This appointment will be submitted to the Canada Excellence Research Chairs (CERC) 2026 Competition , which involves a two-stage process: Applicants must apply to this University
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machine learning, deep learning for medical imaging, generative AI and more. The positions are open to both those who are specialized in methodological development, as well as those focused on innovative