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to bring to the lab. They will be expected to help teach other trainees rotating in the laboratory, including pulmonary and critical care fellows, medicine residents, PhD candidates, medical students, and
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welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Astronomy, Physics, or a related field. Job Description: A Postdoctoral Associate position is available in
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from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics (Prof. Dr. Helmut Grubmüller) is inviting applications for a PhD
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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A postdoctoral training position is available in the laboratory of Jaehyuk Choi, MD, PhD, Professor in the Department of Dermatology and Director, Center for Cell Therapy and Cancer Immunology
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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of computational chemistry and machine learning, adapting state-of-the-art generative models for catalyst design. The role involves data preparation, dimensionality reduction, and integration of open-source packages