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The University of North Carolina at Asheville | Asheville, North Carolina | United States | 8 days ago
nationally known for the quality of our student-centered teaching, mentoring of undergraduates in research, interdisciplinary learning, and striving to be an inclusive campus community. UNC Asheville is
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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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subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply
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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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. 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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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 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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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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Job Purpose To make a leading contribution to a Department of Defence Treat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided
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Job Purpose To make a leading contribution to a Department of Defence Threat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided
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learning, quantum computational advantage Important Dates: Application deadline: May 17, 2026. Candidates will be informed about the results by the end of June 2026. Source of financing: Center for Quantum