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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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and novel biosensing strategies, with the aim of creating new diagnostic tools for liquid biopsy. You will be in charge of: - developing a new version of an optofluidic fiber optimized for plasmonic
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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-constrained edge hardware. Your primary responsibilities include integrating and deploying SDR platforms — such as USRPs, FPGAs, and Raspberry Pi 5 — and implementing, optimizing, and benchmarking AI and
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AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work
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; and be central to demonstrating that autonomous materials discovery can produce real improvements in photovoltaic performance and stability. The full job description is available, here: https
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(OPVs). The MOLTECH-Anjou Laboratory (https://moltech-anjou.univangers.fr/en/ ) is a mixed CNRS (the French National Centre for Scientific Research) - University of Angers research unit which gathers
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for Optimized Functions against Cancer for a six-month position, with the possibility of extension. The team Genetic Modification of NK cells for Optimized Functions against Cancer within the Cell&Gene Therapy
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compression Complete temporal and spectral characterization Optimization of performance parameters Setup and implementation of the pump line (THz) Share this opening! Use the following URL: https://jobs.icfo.eu