620 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"UCL" "U" positions
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Field
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Board meetings to assist with remote technology and ensure smooth logistical operations. Plan co-learning and professional networking activities for the project. Responsible for Institutional Review Board
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Computer Science, Data Science, Computer Engineering, Biomedical Engineering, Bioinformatics or related fields. Expertise in Python programming Proficiency in Linux, Bash, SQL, Git Proficiency with high-performance
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other programming language to manipulate complex data sets. Excellent communication skills and proven experience gathering business requirements. 5+ years of experience with complex analytics to produce
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, Programming Languages, Python (Programming Language), Recordkeeping, Recordkeeping Systems, R Programming, Software Program, Spreadsheets, Statistical Analysis, Teamwork, Working Independently Grade R08-H
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A229-25 Is the Job related to staff position within a Research Infrastructure? No Offer
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technology-enhanced learning, ensuring best practice across English Language Program offerings. Provide leadership in the areas of learning and teaching at the College, including training needs analysis and
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publication and other sharing of data Qualifications All required qualifications must be included in the application materials Required: Bachelor's degree with a major or minor in computer science
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language cognition research. We encourage candidates who apply computational methods to linguistic research and engage with different perspectives on the contributions and implications of artificial
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to? Excellent medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Generous Paid Time Off program Paid Holidays Responsibilities* Customer Service Representative
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content classification and filtering, including handling encrypted DNS traffic (e.g., DoH, DoT). Build and refine knowledge graphs from multimodal data using large language models (LLMs) to enable