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Field
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics
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to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but
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to protect our planet from asteroid hazards. The aim of the project is to deliver and validate of an onboard astrodynamics GNC software for autonomous proximity operations around minor celestial bodies
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several processing units with variable memory, can be profiled to pool the resources. The analytical systems, developed on data collected by onboard sensors and software triggers, can assist the operating
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Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
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engineering, system engineering, or related fields. Solid background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar
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, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden University by
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records, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden
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-related software (e.g. Clampfit, Igor) Canadian citizen or permanent resident Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing