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the role and function of active mobility (walking, cycling) and micro-mobility options (e.g., moped) to improve health and enhance sustainable mobility options. The collaboration with different European
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uptake of GNM into APCs; evaluation of the efficacy of GNM in terms of antigen presentation and APC/T-cell crosstalk. Training in cell culture and immune activation, flow cytometry, antigen presentation in
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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the future of quiet, sustainable flight! Background New aerospace concepts like Urban Air Mobility (UAM) introduce air taxis and delivery drones in cities that are densely populated. The human impact of
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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Research & Development – love to be in the laboratory and aim to set up experimental facilities. You have experience and/or willing to learn hands-on cell testing via electrochemical characterisation (i-V
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and Delft University of Technology. Curious to learn more about the project? Feel free to visit our website , where you’ll also find other exciting PhD opportunities related to this collaboration. In
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MERLN Institute at Maastricht University. What if you could teach a biomaterial to heal bone by delivering the molecular instructions directly to cells? This PhD project explores exactly that question