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. Data & Reporting: Support research evaluation and the formal assessment of PhD students and PostDocs across the institute. Collect, analyze, and report on training data to generate meaningful indicators
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drilling data, digital‑twin methodologies, and AI‑driven optimization approaches to address fundamental challenges in hard‑rock drilling. As a PhD candidate, you will benefit from close supervision, access
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14 Mar 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry
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mining, and sentiment analysis. Empirical microeconomics. Experience with large-scale data. SKILLS-QUALIFICATIONS Master's or PhD in Economics, Data Science, Statistics, or Mathematics Proficiency in R and
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of personal data in the context of the risk assessment is carried out on the legal basis of … Where to apply Website https://www.academictransfer.com/en/jobs/359388/phd-position-in-dynamics-aware-… Requirements
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. in computer science or a related field and will have prior experience collaborating with large, interdisciplinary teams. The candidate will be a strong self-starter who is capable of both working
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mathematical theory and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive
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training and research around the development and delivery of digital health and care interventions, digital research methodology and ‘big data’ analysis Research could include the use of Artificial
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contract). The PhD student will contribute to a research project examining the recent large-scale conversion movement—particularly among women—to New Christian churches in Sub‑Saharan Africa. The project
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-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD