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. Experience with finite element software development. Experience with machine learning and data-driven modelling. Experience with high-performance computing. Previous scientific publications. Qualification
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on data-driven decision-making. The second area, management of information systems, covers various topics related to information systems, from their management and use to their implementation
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, II Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation
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that create impact, value and sustainable outcomes. Deep understanding of the community and social services sector, including workforce challenges, policy settings, funding models, procurement or tendering
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committed to preparing students to be educated and enlightened citizens who lead productive and meaningful lives. Vision To be the national model for the engaged university: engaged with ideas and the
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faculty member in Artificial Intelligence in Medicine to develop and lead transformative AI-driven initiatives that advance population health, health equity, healthcare delivery, biomedical and community
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environment and work at the forefront of interdisciplinary science. We integrate mathematical modeling and data-driven science with diverse disciplines, including ecology, plant physiology, and molecular
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Collaboration for Greater Manchester (NIHR ARC-GM), based at the University of Manchester. NIHR ARC-GM aims to undertake timely, needs-driven and transformative applied health and social care research to benefit
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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: Master's Level 2 or Ph.D. in Software Engineering Skills, knowledge and experience required: Model-Driven Engineering Product Line Engineering DevOps/MLOps Concepts and Tools Software architecture