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Field
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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-time postdoctoral research positions in Professor Henrik R. Larsson’s theoretical chemistry and computational physics group at the University of California, Merced. Both positions will focus
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(Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures
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including CV, list of publications, statement of research interests and future plans (2 pages), a copy of the Ph.D. diploma, and the DGPD declaration [https://www.camk.edu.pl/media/uploads_current
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Experience with one or more of the following areas is strongly preferred: Single-cell RNA-seq, single-cell ATAC-seq, CITE-seq, single-cell DNA copy number, or multi-omics integration. Computational analysis