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), through the funding of the Geosciences Center (CGEO, UID073/2025) under the RRP and the multiannual funding program for R&D units of the Foundation for Science and Technology. Where to apply E-mail gri
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of European research projects: Coordination of R&D work, ensuring timely accomplishment of project objectives and milestones; Efficiently manage workflows and communications with all stakeholders; Budget
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Deadline: Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Prof. Jose Vazquez-Boland (The University of Edinburgh), Dr. Christopher R Coxon (The University of Edinburgh
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in academia, biotech, and pharmaceutical R&D. Research Environment: The Orengo and Lasso labs provide a dynamic, inclusive, and multidisciplinary research environment at the intersection
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Requirements Knowledge of programming in Python, using libraries such as PyTorch or TensorFlow Proficiency in R and in a visualization tool such as R Shiny, Power BI, Tableau, or Qlik Use of repositories in
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topics and debates in ecology • Experience with a programming language (e.g., R or Python) and data analysis • Sound knowledge of English and the ability to write scientific publications
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, particularly insect decline and species distribution models (SDMs), are desirable • Experience with and knowledge of a programming language commonly used in data science (e.g., R or Python) • Experience and
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, statistics, or data science). If already available, please include your M.Sc thesis in your application. • Experience with and knowledge of a programming language commonly used in data science (e.g., R
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/PYTHON/R/C programming • Application of Machine Learning Algorithms Additional Information Benefits This scholarship covers the full cost of tuition fees, an annual stipend at UKRI rate (currently
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, access state-of-the-art fabrication & characterization facilities, and grow within an internationally active and supportive R&D environment: Send your CV, cover letter, and two references to: hr