62 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at Utrecht University
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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transport proteins in lipid membranes. Furthermore, the ultimate long-term goal is to integrate these cells in a dialysis machines. The objectives for this position are to: Formulate synthetic cells with
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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on behavioral lab experiments but may also include other empirical approaches depending on how the project develops. During the PhD, you will: Learn how to combine theory-driven empirical sociology with
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candidates based on their qualifications, skills, and potential. Your background, gender, beliefs, or origin don’t matter. Candidates should be able to demonstrate motivation, eagerness to learn, and ability
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generate new knowledge and critically assess approaches that integrate scientific insights with artistic research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how
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colleague who: holds a Master’s degree in mathematics or computer science; has a solid foundation in category theory; is familiar with dependent type theory; is enthusiastic about learning advanced category
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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types
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the project develops. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological
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quantitative research and data analysis, with openness and desire to learn and apply diverse data sources (e.g., lab and survey experiments, surveys, administrative microdata) and methodologies (e.g., multilevel