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The innovative and growing radio frequency (RF) and Microwave group at Villanova University is looking for an initiative-taking, enthusiastic researcher in machine learning (ML) and artificial
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The Data-Driven Mechanics Laboratory is seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure
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Full Announcement and Application at https://www.jobbnorge.no/en/available-jobs/job/260803/phd-fellow-in-knowledge-driven-machine-learning The positionJoin Integreat, a Norwegian centre of excellence
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for thePhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method
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scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options
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. Knowledge and experience in data science and machine learning is particularly beneficial. Excellent communication and interpersonal skills are essential, along with intellectual independence and a willingness
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of hyperactivity. UA Institute for Computer Research” and “Smart machine learning for business modelling and analysis. Department of Software and Computing Systems.” Reference: I-PI 37-24 Funding agency: Valencia
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/news.html)Our goal is:1. use AIML approaches to accelerate atmospheric modeling.2. use AI models to understand global atmospheric chemistryWhat we are looking for:1. strong academic background in machine
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning