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plus First experience / interest in programming with R desired German or english (international Team) What we offer Working with the latest techniques / technical equipment high content imaging, omics
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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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/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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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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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control JUNIOR RESEARCHER – Responsibilities Participate in R&D tasks across ongoing projects Support experimental