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Field
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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PRIMARY DETAIL • Exceptional development opportunity working with world class researchers • Build your academic networks and access cutting-edge facilities and technology • Full-time, 2 year fixed
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 6 days ago
. - COMPETE2030-FEDER-00707100, Operation No. 15942, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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. Procedure Reference: IT137-25 -388 I - Legal admission requirements I.I - Grant Recipients: Bachelor’s degree in Informatics Engineering, enrolled in a Master’s program in Artificial Intelligence, Data
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legislation. Procedure Reference: IT137-25-329 I - Legal admission requirements I.I - Grant Recipients: Masters in Mechanical Engineering, enrolled in the PhD Program in Mechanical Engineering. Knowledge in
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interested in a research career at a Department of Energy national laboratory are encouraged to apply. BNL will select up to two Fellows during the selection process. Who should apply Successful candidates
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analysis, and may contribute to scientific publications. The CRF will work closely with the broader multidisciplinary team, including postdoctoral researchers in biomedical engineering and computer vision
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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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signal processing; Previous experience in computer vision; Minimum requirements: MsC in Computer Science, Informatics Engineering, Data Science or Bioengineering. 5. EVALUATION OF APPLICATIONS AND