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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, deep learning modeling of parameters of cement composites. The project is realized at the Bydgoszcz
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science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
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to the unique opportunity of an interdisciplinary public affairs education. For more information about the School of Public Affairs, please visit our website at https://spa.asu.edu. ● Teach a 4/4/2 course
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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. Demonstrated teaching excellence in higher education. Demonstrated ability to supervise students in learning projects. PREFERRED QUALIFICATIONS Earned a PhD from an AACSB-accredited institution. Experience in
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into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
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… and current call: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/o… * PhD Offer in Montpellier, South of France - Within the doctoral network EURECA, the LIRMM / CNRS is offering
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reconstruction and deep learning techniques. Participates in publications, scientific abstracts, and presentations as first author or co-author. Presents research results at scientific meetings. Participates in
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on the field of composition with pedagogical competence to teach at the undergraduate and graduate levels. Earned doctorate (PhD or DMA) in music composition or a cognate discipline required. The