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Field
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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
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 6 days ago
) Hands-on experience in: (i) 3D multicellular tumour models; (ii) Tumour-on-chip; b) Participation in science communication initiatives; c) Proven experience in securing competitive research funding and
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restoration of historical cellulosic objects using nanocelluloses, data management, and dissemination, exploitation and communication. He/she will work closely to the PhD students, including in the laboratory
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, language history/historical linguistics, epigraphy – with documented runological competence). Documented experience with digital humanities, specifically with encoding and digitalization of (runic
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for public and private stakeholders. 3. Marketing, Management & Digital Transformation • Management and marketing research addressing technological and societal challenges. • Human resource management in
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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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Unseen Languages in Language Identification. The project focuses on the automatic analysis of written texts, mostly already in digital format, while speech analysis remains entirely outside its scope
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developing, evaluating, and disseminating evidence-based multigenerational digital lifestyle interventions. The position is part-time (hourly), with remote, in-person presence at the Miller School of Medicine
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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Engineering or related disciplines•High competency in data analysis, numerical modelling, and programming•Strong written and oral communication skills•Relevant background in experimental geotechnics is desired