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Position Description The LHC Physics Center (LPC) at Fermilab (https://lpc.fnal.gov/ ) seeks applications for CMS LPC Distinguished Researchers (DR) in both the Senior and Junior category
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Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply Website https
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: • Scientific achievements in engineering and technical sciences • Additional qualifications (in line with the education held) confirmed by a certificate Where to apply Website https://up-sanok.edu.pl/inne/oferty
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
to accelerate technological maturity (TRL), validation, and the transfer of scientific results. Main Responsibilities: Application of advanced Machine Learning, Deep Learning, reduced-order models, and physics
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/279054 Campus Rutgers Biomedical and Health
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: SAgE Find out more about our Research Institutes: https://www.ncl.ac.uk/ As part of our commitment to career development for research colleagues, the University has developed 3 levels of Research
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the fulfilment, cumulatively, of at least one of the following requirements: a) Have demonstrated experience in computer programming. 8.2. The decision of exclusion on absolute merit is notified to the candidates
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific