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/Qualifications Skills in acoustics and audio. Prefereably skills in machine learning and deep learning. Specific Requirements Education in acoustics. Knowledge of acoustical measurement techniques, as
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 30 days ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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multidisciplinary team Basic knowledge of detector systems for particle physics Basic programming skills, e.g., python, Matlab or similar languages Fluent spoken and written English Proficiency of the German language
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profile: Master’s degree and expertise in the physics of complex systems, medical physics or a related field Curious, open-minded, able to work in an international multidisciplinary team Basic knowledge
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
(MICP) technology (preferred) Knowledge of how microbes interact and affect and are affected by their physical-chemical environment (preferred) Experience in biomaterials, polymer science, and hydrogel
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with academic, industrial and project stakeholders. For more details, please check the Graduate Schools Admission Requirements: https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . TU Delft
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BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 141110 Where to apply Website https://vrain.upv.es/ Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD position will be hosted at the Department of Mathematical