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antennas, where wide-angle beam steering of a narrow high-gain beam is realized by using a large number of active elements, (e.g. 1000-5000 active channels). This provides a very good performance but is on
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, enhancing communication reliability, and improving overall system performance. This PhD position offers the opportunity to dive deep into the complexities of antenna polarization, focusing on developing novel
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performance and their scalability on a vessel. The PhD candidate will address these challenges by setting up performance monitoring systems using cost effective sensors and IoT devices. To enhance assessment
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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selectivity is the first important barrier to overcome in order to perform quantitative analyses for each pollutant and avoid ionic interference between the different sensors used in the project. Sensor
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peptides Perform and support experimental studies across the METAMIC project, including notably metagenomic sequencing of field study samples (from clinical or environmental use cases) Application
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, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Ph.D. degree / a Master’s degree in a biomedical or healthcare-related discipline
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applications. Your key responsibilities: • Develop, validate, and apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post
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performed in a holistic multidisciplinary approach in close collaboration with partners from UHA, France. The foreseen results of the project shall contribute to the development of optimized textiles used
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scientific conferences and performing additional organisational functions at the Institute. Where to apply E-mail iws@iws.gov.pl Requirements Research FieldJuridical sciences » Private lawEducation LevelPhD