1,293 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at Nature Careers
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
-disciplinary academic environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
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machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g. from neuro- or plant sciences. Advance our understanding
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Teaching Faculty Position - Machine Learning - Generative AI: Machines that Create Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: Undergraduate Division Location Abu
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Machine Learning - Open Rank Faculty Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Machine Learning Location Abu Dhabi Open Date Oct 21, 2025
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine