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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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. Research integrates analytical chemistry, microbiology, entomology, and engineering approaches and is conducted in collaboration with agricultural stakeholders and industry partners. Learning Objectives
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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; presentation of findings at national and international meetings; and preparation of manuscripts for peer-reviewed publication. The position emphasizes advanced neuromodulation and analytical approaches to human
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24 Mar 2026 Job Information Organisation/Company University of Turku Research Field Agricultural sciences » Other Chemistry » Analytical chemistry Researcher Profile Recognised Researcher (R2
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to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus. As an
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motivated Postdoctoral Research Fellow for a learning opportunity using cutting-edge genomic and transcriptomic methodologies to drive innovative biological control strategies against high-impact invasive
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | about 2 months ago
, expertise in AI, and interest in academic research. Applicants should hold (or be about to complete) a PhD or strong master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related
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significant centre for research in business, including Applied Finance, Actuarial Studies and Business Analytics, Accounting and Corporate Governance, Marketing, Management and Economics. We conduct world
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during