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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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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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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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, 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
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project conducted in close collaboration with the laboratory of Prof. Kaspar Locher (Department of Biology, ETH Zurich). Project background Peptides and nanobodies are highly promising molecules
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the chemistry of superheavy elements – the newest and heaviest members of the periodic table. Through innovative single-atom experiments, state-of-the-art instrumentation, and international collaborations
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social or emotional competence, thereby improving social relationships for some users. The first part of the PhD project is embedded in a 1.5-year collaborative project with the Hochschule Karlsruhe and
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or computational methods for optimization methods, quantum computing, and machine learning Strong leadership skills Strong coding skills Ability to collaborate and establish positive interactions with a widely
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. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge