488 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD research jobs
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SWAN Charter recognises commitment to advancing gender equality in Science, Technology, Engineering, Maths and Medicine (STEMM) employment in academia. https://www.gla.ac.uk/schools/bohvm/athenaswan
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funds from UMass Chan. More information can be found on the lab website https://zhou-group.org/ Applicants should hold a Ph.D. in immunology, microbiology, or a related biomedical science. The ideal
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private and professional communities. Research will include needs assessments, course design and delivery using adult learning principles, and evaluations of outcomes. Responsibilities also include
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary We have immediate availability for postdoctoral associate researchers in experimental particle physics on the CMS
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the ongoing research lines at IRBLleida. 1.2. Summary Researchers wishing to apply to a forthcoming ICREA 2026 Senior Researcher position (https://www.icrea.cat/en/calls ) or already holding an ICREA
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months. Where to apply Website https://www.iastro.pt/ia/jobDetails.html?ID=274 Requirements Research FieldAstronomyEducation LevelPhD or equivalent Skills/Qualifications . The call admission requirements
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REQUIREMENTS Penn State Scranton is currently accepting applications for part-time research assistants at the Sustainable Communities Lab. Read more about Sustainable Communities Lab here: https://nonnasorokina
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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well-structured projects, secondments, and training activities. This comprehensive approach ensures that the candidates acquire the multidisciplinary knowledge and skills required to address real-world