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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course
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engage in data-driven, computational, and/or pluridisciplinary approaches to cultural, literary, or visual analysis. Other research areas of interest include cultural analytics, artificial intelligence
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, including secure storage, cleaning, and documentation. · Conduct qualitative data analysis (e.g., interviews, observations, teacher reflections) using established coding and analytic frameworks. · Conduct
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are shortlisted for the role. Please note we are unable to confirm individual eligibility before shortlisting. See here for more information on Skilled Worker visa eligibility: https://www.gov.uk
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analytics (chromatography, Raman spectroscopy, Surface Plasmon Resonance, etc.) Data analysis Machine learning Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité
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26 Feb 2026 Job Information Organisation/Company Česká zemědělská univezita v Praze Department HR Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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advanced analytical techniques (e.g., operando NMR) to support data‑driven catalyst optimisation. Prepare, purify, and characterise catalyst candidates, including time spent in a partner laboratory to
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. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity-cosmology.sites.sheffield.ac.uk/phd-projects https://sites.google.com/a/sheffield.ac.uk
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning