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article. b) Conducting analytical epidemiological studies based on cohort and ecological data, using R software for data management and statistical analysis, as well as the writing of the corresponding
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quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
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collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D data, geometric representations, or parametric
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experiments, participation in synchrotron measurement sessions, and analysis and interpretation of experimental data. The project combines physical chemistry, electrochemistry, spectroscopy, and instrumentation
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fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
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, molecular cloning or bacterial genetics is a plus. Experience with metabolomics, mass spectrometry or data analysis (e.g. Python, R) is a plus. Excellent communication skills in English, both written and
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20 Apr 2026 Job Information Organisation/Company Foundation for Research and Technology-Hellas Department Institute of Molecular Biology and Biotechnology Research Field Biological sciences
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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including at the National Physical Laboratory, as well as local work at the University of Surrey. Skills in data analysis, scientific communication, radiation detection and measurement will be strongly
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other