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degrees with a strong focus on software and data. Experience: Knowledge or experience in the following areas will be an advantage: Machine learning, data analysis and software development
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models using general-purpose foundational models. Use of deep learning libraries: PyTorch. Experience publishing scientific papers at prestigious conferences on machine learning and AI. Other criteria 30
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learning AI models, in particular, neurosymbolic AI technologies such as the design, development and integration of knowledge graphs, graph neural networks and logic programming in workflows for reasoning
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practice of machine learning would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8188-MARHEC-007/Default.aspx Work Location(s) Number of offers available2Company
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success Knowledgeable about military culture, terminology and the military-affiliated population Working knowledge of University services SKILLS Effective communication (verbal and written), organizational
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Robot Learning (https://ellis-stuttgart.eu/research/ ). To strengthen our joint research activities, we are looking for an excellent and highly motivated scientist with an outstanding early-career track
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strengths in applied mathematics, statistics, data science, dynamical systems, probability, machine learning, and mathematical modeling, the department provides an exceptional environment for researchers
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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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Knowledge, Skills and Abilities: Willingness to learn new techniques. Ability to work effectively in a diverse and collaborative team environment. Email to a Friend https://unmc.peopleadmin.com/postings
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Summary To gather information on student learning experiences at BGSU as part of the Office of Academic Assessment. Career Readiness Competencies: Communication Critical Thinking Teamwork Essential