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PhD research will focus on characterizing and optimizing architectured fabrics and textiles using 3D micro tomography as a main tool to investigate tribological and thermal properties of different
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-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
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on fermentation, as well as assessment and optimization of new raw materials for food use. The work includes developing improved analytical methods for the analysis of these components and their reactions
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. This research builds on recent work on optimization-based workspace adaptation in VR/MR and aims to advance interactive systems that dynamically adapt to user behavior, preferences, and intent to optimally
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institute. The focus will be on topics such as organizational development, digitalization, process optimization, and initiatives to strengthen cooperation. We are looking for someone who enjoys working with
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of Basel and collaborate with partners at Swiss TPH and FHNW, combining expertise in aerosol collection, immunological detection, and engineering. The successful candidate will: Lead the optimization, and
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, 4-year project "LOCO-DC" - Locational optimization of data centers in multi-energy systems, led by Dr. Fabian Heymann, Senior Researcher at ESA. The proposed research project will develop and apply a
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lab models for evaluating coating stability, durability, and antimicrobial efficacy Integration of coating and biological performance data to guide optimization of multifunctional coatings. Your profile
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HF, including chelating ligands, reactive nanoparticles and additives Optimize melt-spinning, uniaxial stretching, and post-treatment steps to control sheath porosity and ion diffusion Acquisition
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation