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sensing. Research Topic As robots transition from single task machines to general purpose agents operating in dynamic and unpredictable environments, the computational demands of the algorithms controlling
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exposure AI based algorithms to optimize the performance of integrated terrestrial and non-terrestrial networks (coverage, capacity, energy, exposure) Digital twin operation: dynamic environment-aware
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PhD Position in AI-Driven Resilient RAN Optimization for 6G and O-RAN Architectures JOB DESCRIPTION This PhD research aims to investigate beyond state-of-the-art technology enablers for the next
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for non-terrestrial communication o Model LEO satellite and UAV communication and exposure AI based algorithms to optimize the performance of integrated terrestrial and non-terrestrial networks (coverage
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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production processes, notably focusing on optimizing growth conditions and improving overall process sustainability. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in bio-engineering, biotechnology
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structures. Optimize wearability and user comfort while ensuring high-quality signal acquisition. Design and evaluate biosignal amplifier circuits, conduct signal quality analysis and contribute to improving
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to work independently). You have solid knowledge of and experience with mathematical modeling, programming, and optimization techniques for planning applications. You possess strong didactic and
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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo