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of Edinburgh, with eight groups across the UK and the United States, the consortium engineers microbial S-layer proteins into large-area, defect-free, metal-coordinated 2D lattices for selective ion separation
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) to work on an EPSRC-funded project developing vapour-deposited perovskite thin films for high-efficiency multijunction solar cells. The successful candidate will engineer novel precursor materials and
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer science
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical
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the perspective of migrant workers’ lived experiences and from the perspective of the finance-technology nexus of platform companies The appointee will play a key role in project implementation and will be expected
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for the benefit of society. Our Mission - TTI delivers practical, innovative and sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer. Our
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at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one
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do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now
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backgrounds such as engineering, computer science, statistics, and economics. Familiarity with energy technologies and associated supply chain risk and challenges. Familiarity with the application of statistics
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. Minimum Qualifications A Ph.D. in chemistry, polymer science, materials science, biomedical engineering, or a related field. Demonstrated expertise in monomer synthesis and photopolymer resin formulation