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ring lattices using the codes ELEGANT, BMAD, or MAD Some fundamental knowledge on machine learning, data science and related numerical tools, such as Scilearn-kit, PyTorch Preferred Knowledge, Skills
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researcher with a strong scientific record (experience in leading research projects and completed postdoctoral fellowships is welcome), who is ready to teach courses in physics or computer science
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, regression models or machine learning. Applicants from clinical hepatology with experience in the above fields can also be interesting. You will work in an interdisciplinary and international research
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Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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postdoctoral researcher to the laboratory of Dr Miriam Klein-Flügge in collaboration with Lilian Weber’s research group and a consortium of researchers chaired by Michael Browning, sponsored by a Wellcome Mental
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Preferred Qualifications Postdoctoral or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with
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about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We are seeking a motivated and creative Postdoctoral Scientist to join our dynamic
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to learn new skills/tools is important for success in this position. The postdoctoral scholar is expected to have completed a PhD in any of the following areas: RF/microwave engineering, theoretical physics
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for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking to appoint a postdoctoral researcher to the laboratory