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evaluating the adsorption capacity and selectivity of the materials for various metal ions commonly found in electronic waste, aiming at developing efficient nanocomposites for E-waste recycling. Furthermore
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through an evaluation of the applicant’s ability to successfully complete the program. Information concerning applications, acceptance guidelines, and other related matters may be obtained
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, responsible, and has a structured approach to problem-solving. When selecting among the applicants we will assess their ability to independently drive their work forward, to collaborate with others, to have a
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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 that leverage social robots and human-robot
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light facilities and free-electron lasers. In most of these activities, theory and modelling are important parts. The work environment is flexible, inclusive and always welcomes your own creative ideas
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you might collaborate with your colleagues to architect secure and scalable software solutions, and discuss how to incorporate security best practices into the design phase to mitigate potential
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, chromatography, electron microscopy) of biopolymer-based materials; functionalization of biopolymer-based materials by chemical modification with functional groups and/or functional ligands; testing of materials
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science, computer systems or information technology. Teaching Expertise. It is necessary that the pedagogical skills and subject specialisation are relevant to the content of the employment and the tasks that will be
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important for the work at the university. Requirements Higher-education degree including subject specialisation (in-depth study of a subject) in computer science, computer systems or information technology
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subject) in computer science, computer systems or information technology. Teaching Expertise. It is necessary that the pedagogical skills and subject specialisation are relevant to the content