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fundamental plant biology with relevance for future crop innovation. Plants have the fascinating ability to regenerate from a single cell or a damaged tissue. This ability requires extensive changes in, amongst
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Description Are you curious how Deep Learning and Online Learning can be effectively combined to create new learning paradigms? Job description Online learning algorithms achieve robustness often at the expense
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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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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you curious about complex systems and learning
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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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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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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