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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the development and implementation of machine learning models Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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Offer Description We are seeking to appoint a Postdoctoral Researcher for a three-year position in machine learning emulators of ice-ocean processes. The role is part of PRECISE: Prediction of Climate
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/postdoctoral-fellowship-on-int
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learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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machine learning to expand the reach of quantum chemistry and address fundamental challenges in chemical science. A successful candidate will be expected to conduct innovative research at the highest level
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the EU Marie Skłodowska-Curie Action Postdoctoral Fellowship scheme – Call: MSCA-PF-2026 The position of professions in society is changing. Today, most professional work takes place in organizational
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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UiO/Anders Lien 5th December 2025 Languages English English English Postdoctoral researcher in Active Learning for Arctic observing systems Apply for this job See advertisement About the position
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research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning to solve physics problems, while another’s helped create a data science