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Field
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, including multi-species interaction in gas–liquid bioreactor platforms. Deliver scientific excellence through high-impact publications, dissemination and outreach. Teach and develop courses at BSc and MSc
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(25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related
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remote working with work on-site, according to organizational needs and the nature of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a digital native with global
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translational research. Previous experience with PROTACS/molecular degraders is a plus. Familiarity with chemistry drawing packages (ChemDraw, MestReNova, etc), MS Office products and the ability to learn other
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Toxicology and other departments and centers at the Brody School of Medicine and East Carolina University. The tenure-track faculty member will also be expected to teach pharmacology and/or toxicology
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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on availability. Learn more about the Rural Drug Addiction Research Center at https://rdar.unl.edu/ . The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new