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. Applying Operations Research techniques to support the selection among predefined extraction methods. Developing and using Machine Learning models for quality prediction and control of phosphate ore
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from antigen presentation, prediction of immunogenic neoantigens, to T cell-mediated control of cutaneous squamous cell carcinoma and melanoma, utilizing immunological, cellular and molecular biological
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, model predictive control, parallel computing using JAX and rapid online learning, is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one of our national industrial partners). Road condition is an essential part of mobility which influences
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
predictive modeling and pathfinding. This includes exploring the use of large language models (LLMs) for schema mapping and normalization tasks, evaluating embedding strategies that enhance interpretability
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models for fracture propagation, reactive transport, and reservoir-scale hydrogen yield prediction. Design and implement data acquisition systems and sensor integration for experimental campaigns. Prepare
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
-specific CD4+ T cells of elite controllers from viral entry. Nature Communications 13:521 – Jeger-Madiot R*, Planas D, Staropoli I, …, Gobaa S, and Chakrabarti LA*. (2024) Modeling memory B cell responses in
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domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate