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246 Starting date: Start date is flexible. Email: [email protected] Websites: https://medicine.yale.edu/profile/william-kim Introduction of School/Department Department of Urology at Yale School
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Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and data-driven modelling techniques, with the ability to apply them to content generation, analytics
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology (JPF11227) Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology
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and international level, collaborating with AI researchers, engineers and pathologists, to develop and validate your models. Contribute to social activities in the group, enjoying your time in
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engineering tools. Your work will span circular materials research (plastics and metals), the creation of high-quality material models, the development of Digital Twins, and the use of AI-based methods
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profile in the field of law, technology and data-driven innovation; possesses proven excellent educational skills and the ability to deliver engaging (hybrid) education to large groups in both English and
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address these questions using TFE3-rearranged renal cell carcinoma (tRCC) as a unique model of transcription factor-driven cancer. The successful candidate will combine mechanistic molecular biology
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significant contributions to AI that demonstrate high potential for research impact. · Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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to organizational values. Your project is part of the Model-Driven Decisions Lab, a Netherlands Police - TU Delft initiative, where you will join an interdisciplinary community of four fellow PhD students who have