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algorithms, building models, and deploying systems. A PhD in a related field may substitute for two years of the required experience. Experience must include at least three (3) years of managing projects and
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algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
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method, NSGA-II algorithm, heuristics, and rolling horizon approach. Minimum education and/or experience required: PhD with specialization in industrial engineering, modeling, or similar disciplines
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reliable models and algorithms in these contexts (weakly supervised, semi- or unsupervised learning, domain generalization, active learning, federated learning, privacy preservation, noise and uncertainty
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candidate (DC4) in the European Doctoral Network COMBINE. See https://euraxess.ec.europa.eu/jobs/401249 for the common job offer for all DCs on Euraxess. Within the COMBINE project, a total of 17 PhD
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assimilation, machine learning, and optimization techniques. Experience in student mentoring. Publications in leading journals within the field. Preferred Qualifications PhD in Environmental Modeling. More than
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) ● Dr. A. Proust (Mistras, France) Secondments (1 to 6 hosting months) Contact information ● tahar.kechadi@ucd.ie ● guillaume.charrier@inrae.fr How to apply https://www.eu4greenfielddata.eu/phd-positions
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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, quantum compilation techniques, and noise-aware algorithms for Rydberg architectures. Apply quantum optimization to real-world problems such as logistics, scheduling, and portfolio allocation, comparing
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must