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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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drive the Department’s strategic vision, foster interdisciplinary collaboration, and elevate its global impact. Candidates should hold a PhD in Social Work or a relevant field and possess the stature of a
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 25 days ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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of Arts and Science can be found at: https://artsci.tamu.edu/index.html . Qualifications Applicants must have a Master level degree in German, a PhD in German is preferred. Candidate must have a minimum of
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. For the Working Group “Ecosystems in Transition” in RD1 at PIK, we are offering a PhD position (m/f/d) (Position number: 10-2026 PhD ARTECO) in the field of ecological modelling of complex arctic landscapes
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, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department Description: The Red-Horse Lab in the Department of Biology at
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. Visit http://www.sheffield.ac.uk/sgs to learn more. Funding Notes First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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of Science in Physiotherapy programme, to teach modules at other bachelor and master programmes offered by the Faculty of Health Sciences and to supervise undergraduate and co-supervise PhD students
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Real-time stream data analysis within the general study