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Field
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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2026. The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical
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) biophysical modelling of mouse LFP and human (including schizophrenia patient) EEG data from auditory cortex, and ii) simulation of hallucinations using a spiking neural network model. About you The candidate
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of this position, Dr. Tiantian Yang, at Dr. Yang's current email Tiantian.Yang@ou.edu (primary contact before Dec 31, 2025), with a carbon copy to Dr. Yang's University of Michigan email address yangtt@umich.edu
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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About us We are seeking a talented and ambitious Research Fellow to join a groundbreaking interdisciplinary project at the intersection of computational biology, ecology, statistical modelling and
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: OBJECTIVES | FUNCTIONS The candidate will work on the development of novel approaches for clinical natural language processing specifically looking at: (a) the use of language models for coding multilingual
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at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and
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, the forward modelling of simulation data or the comparison between solar observations and MHD wave theory. The successful applicant may also be able to work with and co-supervise PhD, Masters and summer
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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication