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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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of the project] * Background of the recruitment and description of the project Faculty Position in Teaching Structural Engineering https://www.ous.ac.jp/common/files//202512171041100440881.pdf [Work content and
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-003/Default.aspx Work Location(s) Number of offers available1Company/InstituteSols, solides, structures, risquesCountryFranceCityGRENOBLEGeofield Contact City GRENOBLE Website http://www.3sr-grenoble.fr
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rew ards. Purpose To provide skilled, professional quality assurance for construction
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asbestos-containing or lead-contaminated work areas from a given structure and from outside areas. This position removes asbestos-containing materials from structural items and equipment as well as performs
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description FR: Les études sur la structure des noyaux visent à comprendre comment les
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Advisor: Ana Paula Martins Falcão Flor (ist13814) Co-advisor(s): Jónatas Valença (ist417176), LNEC. Organic Unit: Scientific Area of Construction Scholarship Theme: The work aims the development
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(HTCS) transcription factors in Bacteroides. The research project will focus on structural characterization of B. thetaiotaomicron HTCS transcription factors; identification of ligands that bind
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directed by supervisor Remote/Telecommuting Hybrid (part-time working on site, part-time working off-site) Position Summary Provides administrative support to Planning and Construction Project Management