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and health. The lab conducts method-driven research in natural language processing (NLP) and artificial intelligence (AI), with an emphasis on LLM reasoning, uncertainty quantification, interpretability
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translation. Unique opportunity to engage in close interactions with physicians and clinical researchers at the Medical University of Vienna on one of Europe’s largest medical campuses. Opportunities
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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perform ab-initio QT calculations at unprecedented scale. As QuaTrEx aims to solve for the transport and interactions of various quanta (electrons, phonons, etc) directly at atomic resolution, it requires
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reports. Publish and present research results in peer-reviewed journals and at conferences. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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Support programs equity Fields of action Networks for equity Contact Team Equity News and publications Back Press releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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, Horticulture, Plant Pathology, Entomology or Agronomy • Ability to work individually and by interacting with internal and external teams • Understanding of the genetics and breeding principles of open
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Description The Bias, Ethics, and Privacy Cluster within the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at New York University Abu Dhabi seeks to recruit a
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that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will