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of cardiovascular specialty and subspecialty areas. The UWMC CV APP Fellowship is an intense, highly structured, comprehensive program through which newly licensed APPs will acquire in depth cardiovascular knowledge
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following use cases: • The construction of a machine learning pipeline that allows the conversion of Course Unit Sheets (CUS) into a data structure based on the European Learning Model (ELM). • Integration
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experiment is a next-generation long-baseline neutrino oscillation experiment that is currently under construction in Japan. Hyper-Kamiokande will use an upgraded (anti)neutrino beam and a water Cherenkov
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck IQOQIIBK | Austria | about 1 month ago
of MyAbility in order to provide appropriate workplace structures, in particular for persons with disabilities. Where to apply Website https://oeawnr.onlyfy.jobs/application/apply
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photophysics under conditions simulating those of the interstellar medium. Structural characterization, electronic absorption, electronic fluorescence, and recurrent fluorescence are studied through in situ
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 8 days ago
approaches. The program is structured as a transatlantic exchange between research environments in Germany and the United States. Fellows are expected to conduct their research outside of the country in which
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employment conditions. Successful candidates become members of the national DDLS Research School, which offers a structured training environment, national networking, courses, seminars, and scientific visits
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
what we call “Interscalar Authoritarianism”. The project is structured along 10 Work Packages that together deliver the core objectives to theorise, map, and explain how autocratic appeal coalitions and
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learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change and increased uncertainty in life and non-life insurance modelling
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machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where clustering analyses often form the basis for biological