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Field
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for the position(s) include: Contributions to the ePIC Silicon Vertex Tracker, through software and simulation work and/or hardware development Data analysis for the ALICE or sPHENIX experiments AI/ML research in
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Maxwell’s equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of SRF will focus on developing ab initio theory and developing software to describe and study
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Forensics, Image Forgery Detection & Localization, Deepfake Detection, and related areas. Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python, C/C++, as well as Linux (eg
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projects to be developed in the same context. Opportunity to develop software in a real-world environment, working within a professional team and contributing to systems used daily by thousands of users
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discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility
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experiments. Analyze data using different software tools. Write journal or conference articles related to the project. Prepare progress reports, financial reports, and other research-related documents. Manage
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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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data management requirements, such as data planning, collection, processing and compliance, pertaining to the Faculty of Medicine data platforms, software, and tools in support of good data management
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particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicant is expected to be stationed at CERN
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. The ability to obtain source code access to export controlled nuclear software, including VERA. Preferred Qualifications The ideal candidate will have experience in methods and software development related