605 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in Poland
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process in the physiotherapy programme. The application for the competition should include: • a declaration of participation in the competition – available at: http://bip.aps.edu.pl/artykuly/410/formularze
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nationals); • knowledge of the English language (advanced level); ADDITIONAL REQUIREMENTS: • ability to use a computer (Windows environment, MS Office package); • additional documented qualifications
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of Life Sciences in Lublin, CV, Personal questionnaire for person applying for employment (an application form is available for download from the University website: http://www.up.lublin.pl/druki-do
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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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teaching staff) Where to apply Website https://bip.uniwersytetradom.pl/oferty-pracy/150 Requirements Research FieldJuridical sciencesEducation LevelPhD or equivalent Specific Requirements doctoral degree in
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of computation that aim to lower energy consumption for machine-learning and information processing tasks (see, e.g., arXiv:2308.15905 ). Quantum phenomena in information processing: Investigating how genuine
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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industry. 2. Education – Wrocław University of Science and Technology offers employees the opportunity to teach classes and supervise student theses, as well as participate in training programs. 3
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technologyTechnology » Transport technologyYears of Research ExperienceNone Additional Information Website for additional job details https://www.bip.pw.edu.pl/Praca-w-Politechnice/Dla-nauczycieli/Asystent-Wydzial… Work
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or experimental research involving passive, active, specialty, or telecommunication optical fibers, or in modeling linear and nonlinear phenomena—including the use of deep learning methods—in the field of optical