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medicine. This vacancy focuses on the algorithmic aspects of these techniques. We are seeking to recruit a strong researcher with a background in computer science. The ideal candidate can provide computer
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extension to four years, will focus on leveraging the next generation of evolutionary algorithms to evolve efficient, robust, and interpretable predictors and data processing algorithms. A crucial aspect will
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sensor and actuator environment. You will assist in the teaching activities at the department in courses on bachelor level, specifically courses on programming and software development. You will assist in
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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the field of analytical and/or simulation methods for composite materials. You have extensive experience with development and implementation of algorithms for modelling of composites You have experience with
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limited to): O-RAN based architectural integration of 5G/6G Terrestrial/Non-Terrestrial and Wi-Fi, development of advanced algorithms and optimisation techniques to enhance the performance and efficiency
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integration of 5G/6G Terrestrial/Non-Terrestrial and Wi-Fi, development of advanced algorithms and optimisation techniques to enhance the performance and efficiency of the integrated RAN, spectrum management
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monitoring disturbances from both satellites and ground-based sensors. The latter is expected to contribute to the further development of the pylidar repository. This PhD project will be promoted by prof. Kim
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Job description You will be responsible for advancing the current state of metaproteomics bioinformatics by developing novel, high-performance algorithms for improved identification and annotation