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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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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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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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. 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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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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… 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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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
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those related to climate change, forest health, and sustainability. Teach undergraduate and graduate courses that appeal to students across natural resources and forest management. Advise and mentor
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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