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advanced degree (PhD) in physics, applied mathematics, chemistry or electrical engineering, and should have a background in experimental quantum systems. Experience with magnetic resonance, Hamiltonian
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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. - Must be registered as a Postdoctoral Fellow with McGill University. Field of Study: Neuroscience, Molecular biology, Physics Required Skills • Excellent French and English, spoken and written
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soil and crop scientists, GIS specialists, remote sensing experts, and computer programmers. They will be responsible for: Conducting fieldwork using UAVs (drones) to capture high-resolution imagery and
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their graduate degree in the natural sciences (Astronomy, Biology, Chemistry, Physics and Earth Sciences), Engineering, Mathematics, or Computing – and all sub-disciplines therein Be available for the entire
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National Teaching Fellowship was changed and it is now open to any individual currently teaching at a Canadian university or college, regardless of discipline, program, level, or term of appointment. All
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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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clinically-approved drugs for indications related to wound healing. The Granville research program spans basic molecular biology and biochemistry through to target validation, proof-of-concept in animal and
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set the research direction and computational approach to the data. Qualifications: - PhD in Biology, Bioinformatics, Computer Science, Statistics or a related quantitative field. - Experience working
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 20 days ago
. Eric Rapaport and his team are now seeking applications for a two-year Postdoctoral Fellowship in a research program called A data-driven geospatial planning tool: understanding cumulative climate risks