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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
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sustainable interior environments. The curriculum emphasizes design at all scales from large-scale adaptive reuse to furniture design and fabrication. Students and faculty collaborate closely with faculty in
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hierarchies during cardiac, endothelial and hematopoietic development. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene
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in expressing and purifying large multi-subunit protein complexes and analysing them through in vitro methods. Extensive experience in structural biology techniques, especially with cryo-EM
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(liquid nitrogen and/ helium atomic scale STEM Knowledge of in situ STEM characterisation Expertise in aberration corrected STEM What we can offer you: Grow your career: gain access to Imperial’s sector
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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scale. Assist/contribute in preparing research outputs including reports, publications, and presentations Work collaboratively across academic and policy networks The role offers an opportunity to work
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aspects of CMS, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and
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, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and simulation
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) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research structure and form the cornerstone of a rapidly expanding