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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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Institute. Under the supervision of the Principal Investigator, the Student Assistant will perform supervised research in the area of cancer metabolism. The goal of the research program is to inspire
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• Else Kroener Excellence Grants 2026: Funding program for US-based outstanding medical researchers • The Else Kroener Fresenius Foundation (EKFS) will provide a total of €10 million in funding
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, and computer scientists to ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason
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Education Required Education: Master’s Internal Number: 402_1773660853 Program: Future School Leaders Academy Position Vacancy: Adjunct Instructor Semester: Fall 2026 Course title: Processes of Supervision
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or approximators of the control law. This will alleviate the modelling complexities and the online computational requirements of the control algorithms and provide them with learning, self-regulating and adaptive
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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or proteins. More details can be found: https://yanjun-li.com.html . Additional duties of the role will include, but are not limited to: Leading the development and optimization of the AI and/or computational
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and non-degree programs, as well as unit initiatives. Analyzes and models academic program financial data, including historical vs. current enrollment data, program costs, and other academic program
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good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits