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Synthesis and characterization (e.g., X-ray diffraction, IR spectroscopy, electron microscopy, gas adsorption) of porous materials l Testing of materials for sorption-related applications that are within our
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selectivity of the materials for various metal ions commonly found in electronic waste, aiming at developing efficient nanocomposites for E-waste recycling. Furthermore, the duties entail conducting experiments
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the use of machine learning. The ability to make use of deep learning is required. Publications at leading conferences in machine learning and computer vision is a strong plus. Good oral and written
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-ray field and on the use of synchrotron light facilities and free-electron lasers. In most of these activities, theory and modelling are important parts. The work environment is flexible, inclusive and
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information read here. Duties The work duties include synthesis and characterization (e.g., thermal analysis, spectroscopy, chromatography, electron microscopy) of biopolymer-based materials; functionalization
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from them. First, it will explore the effect of large language models (LLMs)-powered social robots on user’s privacy and safety risks. Second, it will develop and evaluate new, user-centred mechanisms
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
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project aims to explore how changes in the characteristics of the electrical system through an increased share of power electronics affect the robustness of the electricity supply. The project also aims
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on extracting knowledge from large-scale ECG data sets and a possible collaboration with an existing postdoc working on models trained on large databases with electronic health records. The aim there is to be