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of robotics instrumentation, building, designing, and testing automated systems to improve operational processes, utilizing AI-based machine learning models to ensure smooth running of diverse protocols, data
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processes that enable cells to move through a biological matrix in the absence of adhesion, by exploiting the topography of their environment. The consortium brings together two teams of physicists
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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of solving such systems are immense: slow or unstable convergence, lack of robustness, and scalability bottlenecks on modern parallel architectures. As a PhD researcher, you will be at the frontier of tackling
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source areas. With the shifting focus of policy from deposition to emissions (target management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what
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The successful candidate will contribute to the acquisition, processing, inversion, and geological interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20231097F Position Title
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performance. The post-doctoral fellow will be hired by the IRCER (Institut de Recherche sur les Céramiques), in which he will be responsible for optimising the transparent ceramics manufacturing process. He
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will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on the tight coupling between body dynamics, sensing, and