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Field
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in satellite network, wireless systems, sensing, and AI. We build working systems, engage with industry (e.g., Microsoft, Google Research, and Amazon), publish top-tier scientific papers, and release
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scientific programming (e.g. Python, MATLAB or R) Experience applying advanced analytical techniques, including machine learning, to complex datasets Experience with neuroimaging analysis (MRI/fMRI
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drug discovery (e.g. generative models, PK models, lead optimization). Description of work/duties: Working in a team-based environment to solve scientific problems Active collaboration with
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 4 hours ago
weather prediction. * Demonstrate strong scientific programming skills and the ability to develop and evaluate computational methods. * Communicate effectively and contribute to a collaborative research
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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internally generated datasets. Research & Scientific Discovery Investigate mechanisms underlying DNA damage, DNA repair deficiencies and cancer evolution through computational analyses. Collaborate with
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Experience in X-ray or neutron scattering methods Experience in research related to the focus area of the project of your choice Experience with analysis of scientific data Scientific programming skills
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related application domains is advantageous. Good programming skills in Python or other relevant programming languages. Experience in data analysis, modelling, machine learning, optimisation, software
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, including model setup, process representation, calibration, interpretation of model behavior, and development or modification of scientific modeling workflows Exceptional Fortran programming expertise
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: FastTrackAI: Fast-Tracking AI for Scientific Discovery with Accelerated Networking and Computation on Modern Architectures in Singapore Project Introduction: The advancement of accelerated computation