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, biological, clinical and health challenges, co-design research approaches, and contribute to validated AI-enabled tools, software, models, workflows, prototypes or partner-facing solutions. Skills and
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approaches, and contribute to validated AI-enabled tools, software, models, workflows, prototypes or partner-facing solutions. Skills and knowledge: Completion of a PhD or equivalent accreditation and standing
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multiphysics modelling tools. Evidence of publications in reputed refereed journals and presenting at conferences. Capability to contribute towards successfully obtaining external research funding. Some
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generate data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS, and CT-PET machines. Designs in vitro and in vivo (murine model) experiments. Record and
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good understanding on the numerical methods used in ice sheet dynamics, experience in code development and in benchmarking ice sheet models. All candidates and projects will have to undergo a check
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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of essential components for creating a decentralized data space that allows data sharing in an interoperable way, both at the model level and at the data transfer protocol level. Empirical studies will be used
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
optimization algorithms and/or machine learning models for complex systems or real-world applications Experience with large-scale optimization or deep learning systems is highly desirable Duties and