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into a research team with established expertise in software security, program analysis, and AI-driven code intelligence, with a track record of collaboration with leading technology companies and
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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Computational mOdelling of NanosCalE and bioPhysical sysTems (https
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of multiple projects and initiatives affiliated with the Spirituality, Culture and Health (SCH) program, including managing budgets, staff, and interest-holders. Key duties involve program development and
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graduate courses with a focus in machine learning and its applications in artificial intelligence, NLM, GenAI, computer graphics, networking, cybersecurity, IoT, robotics, HCI, databases, software
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, contributing to software development, experimentation, or technical reporting. Experience in teaching or supervising laboratory activities in computer networks, programming, or telecommunications, demonstrating
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, the successful candidate will join a small, collaborative group of staff scientists embedded within the Curtis Lab, working at the intersection of cancer genomics, computational biology, and clinical translation
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electromechanical systems hardware and computer vision software to analyze and measure manufacturing processes and systems. Duties and Responsibilities : Design software architecture based on deep machine learning
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The Oxford Research Software Engineering Group (OxRSE - www.rse.ox.ac.uk ) is looking to recruit multiple Research Software Engineers (RSE) to join our team. We work with other research groups
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access to the AGL facilities within Abertay’s Emergent Technology Centre, including an extensive games software archive, game development computers, and streaming and sound recording facilities