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About the CDT The UKRI AI Centre of Doctoral Training in Designing Responsible Natural Language Processing is dedicated to addressing the increasing necessity for an ethically grounded approach in
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must be compatible with massive MIMO architectures, necessitating full-duplex operation and reciprocity. The project aims to establish an innovative IC-antenna co-design methodology for full-duplex
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. LanguagesPOLISHLevelMother Tongue LanguagesENGLISHLevelExcellent Research FieldJuridical sciences » Judicial law Internal Application form(s) needed ZGŁOSZENIE NA STANOWISKO ADIUNKTA SPPC.pdf English (181.78 KB - PDF
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, shaped by a combination of environmental change, socio-economic factors, and the actions of various societal actors evolving through informal processes. To better address these challenges in an integrated
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to any supplier enquiries based on this job advertisement. Selection process How to apply Candidates are invited to submit their application in English or Dutch. Applications must include, in two PDF files
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research platform to characterize preclinical Alzheimer’s disease (AD) in asymptomatic individuals and will serve to untangle the natural history of the disease and to model the preclinical stages to develop
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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SD-26006 PHD STUDENT IN METAL DECORATED METAL OXIDE NANOSTRUCTURES FOR ENHANCED PLASMONIC LIGHT H...
with researchers and engineers specialized in microfabrication, materials analysis, and ALD process development. • Participate in international conferences and publishing your findings in peer-reviewed
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for the introduction of digital technologies in ‘difficult to digitalise’ work environments, the implications for the quality and nature of work in the agrifood system, and the ways in which digital work in agrifood
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology — and want to contribute to remote sensing research for biodiversity and ecosystems