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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | about 2 months ago
condensation but the precise mechanisms are largely unknown. Indeed, theory predicts that moist convection on Jupiter would be harder to trigger than on Earth owing to its very light molecular weight and low
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integration, testing, documentation, and version control workflows; • coordinating contributions from the research team to ensure smooth, coherent, and efficient integration of new developments. Team support
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recession. A key objective is to identify and predict gatekeepers, i.e., critical locations that dynamically link upstream areas to the drainage network. The position will interact closely with other partners
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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machine-learning approaches for the analysis and integration of complex neural and movement data, supporting new insights into the mechanisms underlying human motor control and rehabilitation. About the
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Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
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hydrological studies encompassing the detection, attribution and prediction of hydrological change. The process based studies focus on climate and hydrological exchange processes and encompass a wide range of
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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for a talented and motivated postdoctoral fellow to join the Genome Re-InnovaTion Lab (https://grit-lab.org), part of the Synthetic Biology Translational Research Programme at the National University