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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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About us The School of Neuroscience is UK’s 2nd largest Neuroscience school with over 500 researchers and 200 PhD students. It is one of three schools at the Institute of Psychiatry, Psychology & Neuroscience. CDN is one of four departments in the School of Neuroscience at the Institute of...
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technologies including thermal energy storage (TES) and hydrogen technologies integrating with concentrating solar power (CSP). Responsibilities under this position include leading research work on modeling
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Program (PRR Workplan: (1) Numerical simulation of the behaviour of connections between prefabricated concrete walls using finite elements; (2) Case study analysis; (3) Processing and analysis of results
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Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics | Croatia | 14 days ago
field of mathematics, for work on the project Croatian Science Foundation „Scaling in stochastic models“ (Project ID: DOK-2025-02-9144), according to the tender Croatian Science Foundation „Razvoj
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description Specifically, this project combines high-throughput experimentation, synthesis of model catalysts, operando characterization, and molecular modelling to identify novel catalyst families and develop
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), and advanced high-pressure techniques. Experience with vacuum systems, lasers, spectroscopy, or numerical modeling (e.g., plasma or molecular simulations) will be considered an asset. The candidate will
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and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
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). Lesion and anomaly detection in biomedical/industrial imaging. Development of robust models transferable to real-world environments. Use and development of 3D reconstruction techniques. Candidate Profile
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in combination with data from automatic milk feeders. Integrating all these data into artificial intelligence (AI) models will enable faster and more accurate detection of early signs of respiratory