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. Background with pharmacology, cell therapy or antibody engineering is also desired. · Strong experience in induced pluripotent stem cell (iPSC) establishment possesses a deep understanding of the
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UiO/Anders Lien 3rd July 2026 Languages English English English PhD Research Fellow in Active Learning for Arctic observing systems Apply for this job See advertisement About the position Position
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 months ago
to exploration of machine learning and deep learning approaches for tasks such as process monitoring, fault detection, real-time release testing, and the prediction of quality attributes from process data
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, nursing and community health. Conceptualize, design and implement innovative projects based on deep understanding of healthcare providers' needs and available technologies, matching both of them effectively
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research at the intersection of mathematics and AI safety, with a focus on reducing catastrophic risk from highly capable AI systems. Research directions include rigorous mathematical foundations of deep
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to clinical natural language processing. With training and experience in the use of deep learning and large language models, specifically in problems related to clinical natural language processing. Self
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. This project aims to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile
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) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed of new literature related
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to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning