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move beyond conventional stimuli-responsive materials, which merely switch between predetermined states, toward life-like materials that genuinely learn: Forming memories, consolidating them over time
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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models of regulation and dynamics . Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying
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development of metacognitive skills across childhood and adolescence. Metacognitive skills play a central role in successful learning because they enable learners to monitor their own understanding, recognize
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a fundamental mechanistic understanding of how precise timing and spatial localization are achieved, and the specific signals that trigger T6SS assembly remain unknown. Learn more about our recent
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interdisciplinary project with strongly established international collaborations. As a result, you will travel internationally to collaborators’ labs to learn different approaches and develop your own research
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models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying regulatory principles. We work on regularization, training on time
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multidisciplinary field, and openness to learning new things. The PhD candidate needs to be proficient in spoken and written English and has a Master’s degree. We are offering a modern research environment and
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environment for doctoral researchers interested in longitudinal and mixed-methods approaches to language learning and mobility.
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, University of Basel and contribute to a research program investigating the development of metacognitive skills across childhood and adolescence. Metacognitive skills play a central role in successful learning