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to develop 2D and 3D NMJ models for DM1, consisting of different combinations of patient-induced pluripotent stem cell (hiPSC)-derived neuronal and muscle cells, allowing the dissection of pathological
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, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our
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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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to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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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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healthcare, mobility, education, law, ethics, and public governance. This position is a collaboration between Wageningen University, Utrecht University, and societal partners such as the Dutch Nutrition Center
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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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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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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