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using open-source data, assess the reliability, transparency, and applicability of these models, and validate them through applicable use-cases. Where to apply Website https://www.academictransfer.com/en
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be
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modelling, CFD modelling or BIM modelling for built environment applications is preferred. Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred. Prior experience in
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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of professor. See the details at: https://ut.ee/en/content/career-model-academic-staff . Job description, incl. requirements for academic staff. Salary Rules. More information about application documents. We
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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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Modeling and outputs. Implements Strategic Modeling governance, data-quality controls, and version-management processes. Leadership, Team Management, and Staff Development Directly supervise two Strategic
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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principled new models and methods, for modern machine learning problems. Machine learning recently has been largely advanced by differential equation-based frameworks, such as generative diffusion models
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and collaboration across AI/ML, sensing, modeling, and control. A publication pathway spanning AI for science/instrumentation, process systems engineering, and control. Mentor programme as a new