211 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Master scholarships
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: Hydrology, Water Resources, Data Science, and Computing Admission requirements: BSc or MSc degrees in one of the following areas: Civil Engineering, Computer Engineering, Environmental Engineering, Physical
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 19 days ago
– Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics
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, I.P. (Regulation no. 950/2019, of July 22, 2024). º 8131/2024, of July 22, 2024), https://files.diariodarepublica.pt/2s/2024/07/140000000/0035300366.pdf and in the Research Grants Regulations
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
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public/privé ANR PRC PHD title: Doctorat de Chimie PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137017 Requirements Specific Requirements Candidate
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application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
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Degree or equivalent Research FieldManagement sciencesEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant
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to pursue a PhD, as well as the ability to work in a team and scientific curiosity. To be eligible for admission, candidates must be enrolled in a PhD programme at UCLM. Where to apply Website https
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; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ); Where to apply E-mail rjrg@fct.unl.pt Requirements Research
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–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using