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complex chemistry, molecular metal compounds, homogeneous metal catalysis, organic synthesis, mechanochemistry of metals, as well as experience in analytical techniques including NMR, PXRD, HRMS and ICP-MS
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regulation, with the long-term goal of enabling more precise design of RNA therapeutics for complex diseases. The doctoral researcher will analyse large-scale single-cell and bulk multi-omics datasets
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. The post-doctoral position is set within Health Dimensions, a multidisciplinary research initiative funded by the Research Council of Finland. Health Dimensions explores the complex, multidimensional nature
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Research Council of Finland project “NOISY: Toward Noise-Driven Communication for Secure, Energy-Efficient, and Low-Complexity Wireless Networks”. The NOISY project explores a bold idea: what if noise
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, and truly multidisciplinary research community. We value interdisciplinarity, as it allows you to expand your research network and exposes you to new perspectives and ideas to solve complex research
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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
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research community. Interdisciplinarity is highly encouraged, as it allows you to expand your research network and exposes you to new perspectives and ideas to solve complex research problems and pursue
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profile We are seeking an open-minded, self-motivated researcher with rigorous approach to complex and interdisciplinary problem. Applicant is expected to have excellent academic merits and hold a master’s
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project will explore how AI “thinks” about weather by simplifying complex AI models and testing them under controlled conditions. By combining the speed of AI with the physical accuracy of traditional
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of the space, in the sense that the group contains a kind of virtual copy of the space. The Rubin's theorem for subshifts project aims to show that the automorphism group of a sufficiently rich/complex subshift