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robotic control strategies that ensure precise, safe, and patient-friendly probe positioning. The candidate will be responsible for developing artificial intelligence methods for cardiac view identification
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methods from philosophy, psychology, and literature studies to investigate experiences of climate anxiety and related emotions. We are seeking a candidate with a background in Environmental or Health
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interpretation, trust, error tracing etc. XAI methods offer clear-box models, often comparable to DL in accuracy, yet better in 1st-time scenarios (where the AI has not exactly encountered the given situation with
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PhD Student, you will be embedded in a strong research community that is internationally recognized for excellence in research and a strong commitment to interdisciplinary methods and approaches within
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research and a strong commitment to interdisciplinary methods and approaches within the social sciences and beyond. Within the Department of Business and Sustainability, your closest colleagues are those in
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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pathways. This project aims at developing a holistic method to assess and identify the recycling and reuse pathways of building materials considering the full material cycles and market dynamics
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, acoustics, or a related field • Very good command of audiological test methods and hearing aid treatment • Good command of psychoacoustics • Good command of the English language in spoken and written form
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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, motivation, employed research method, and key findings (max 1 page of 2,400 characters each, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate