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you can say yes to some of the points below, it is highly beneficial: Proficiency in programming languages, preferably Python. Capable of analyzing large datasets Knowledge of AI and machine learning
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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experience with machine learning techniques in general and neural networks in particular will be highly beneficial. About the employment The employment is a temporary position of 2 years according to central
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Observation data analysis. You are fluent in Python and have solid experience with relevant machine learning and geospatial libraries such as PyTorch, TensorFlow, GDAL, rasterio, and zarr. You have experience
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the Division of Data Science and Artificial Intelligence and the employment is with Chalmers University of Technology. The division’s research spans from foundational machine learning theory to applications
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, through the development of new materials to direct industrial projects generating new inventions. We have a strong learning commitment on all levels from undergraduate to PhD studies where physics meet
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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23 Oct 2025 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Electrical and Information Technology Research Field Engineering » Electrical engineering
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machine learning and AI for clinical decision support. Develop, train, and validate predictive and explainable models using large-scale clinical registry data. Work closely with clinical collaborators