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models. Where to apply Website https://www.unicampus.it/concorso/contratto-di-ricerca-phys-06-a-fisica-per-le-… Requirements Additional Information Eligibility criteria Eligible destination country/ies
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. The work will progress from well-defined model minerals to recycled and secondary mineral resources with the support of the supervisors and project consortium. The position includes the following
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based
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, particularly acute respiratory distress syndrome (ARDS). The position involves designing and conducting comprehensive in vivo and ex vivo experiments using mouse models of lung injury, performing molecular and
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on neuromorphic materials and devices. The role
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on neuromorphic circuits and systems. The role
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on AI training algorithms. The role will focus
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. Position Summary We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle, infusing scientific automation with foundation models, multi-agent systems, and robotics to make scientific discovery intelligent
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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position above include but are not limited to: Responsible for developing, maintaining and analyzing water, wastewater and stormwater hydraulic and hydrology models. Calibrating models using field data