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data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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the market and various industrial partners. Contribute to workshops to present the results and the state of the art in the field to industrial partners and other stakeholders. Qualifications: A PhD degree in a
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. Hadi Fariborzi), you will design, implement, and validate a standardized library of constructs and measures; work closely with our PhD RAs and undergraduates; and ensure seamless deployment in
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qualifications are desired or required: Completion of a PhD degree in the field of biomedical sciences. Previous experience of basic laboratory techniques, such as immunohistochemistry, western blot and cell
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be used to evaluate the gene therapeutic effects both ex vivo and in vivo. QUALIFICATIONS: The following qualifications are desired or required: · Completion of a PhD degree in the field of biomedical
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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? Postdoctoral Research Opportunities in Science (PROS) at Baylor College of Medicine allows you to meet faculty and trainees from multiple labs and learn about our resources in the Texas Medical Center in