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Field
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This position focuses on the research and development of novel radiation detectors and associated edge-computing circuits and algorithms for X-ray, particle, and nuclear physics experiments
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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Website https://www.academictransfer.com/en/jobs/357043/postdoc-position-explainable-ai… Requirements Specific Requirements You hold A PhD degree in Artificial Intelligence, Data Science or
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who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Electrical and Computer Engineering, Biomedical Engineering, Mechanical Engineering or
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[map ] Subject Areas: Information Science / Artificial Intelligence (AI) , education , Data science Appl Deadline: 2026/02/01 11:59PM (posted 2025/12/19, listed until 2026/05/31) Position Description
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2026 - 00:00 (UTC) Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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-completed PhD (within the last 0-5 years) in Materials Science, Computational Materials Science, Chemical Engineering or a closely related field. Comprehensive understanding of applied computational materials
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are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's
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beyond the Standard Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning
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criteria Knowledge of Medieval Latin or Neo-Latin Familiarity with corpus annotation standards and tools Familiarity with computational semantics methods * Please note that this is a PhD level role but