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Field
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with diverse stakeholders, including informatics experts, clinicians, basic scientists, and
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment
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processes and artificial intelligence and machine learning methods. The goal of Geophysicist.AI is to develop a scalable artificial intelligence ecosystem that integrates large language and physics-informed
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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language models) to extract data from case law desirable. Knowledge and understanding of the processes before international human rights systems of would be a very important asset. Knowledge of French
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in