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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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into solid phases of marine snow. You will test the performance of your model by simulating experimental and field data in collaboration with the PHOSFLUX PhD student. Your qualities We are looking for a
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and uncertainty in downstream predictions; fine-tune ARCA for tasks including microbial root competence and crop-relevant outcomes, and iteratively improve the model using experimental Design-Build-Test
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uncertainty in downstream predictions; • fine-tune ARCA for tasks including microbial root competence and crop-relevant outcomes, and iteratively improve the model using experimental Design-Build-Test-Learn
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. Together, we want to explore how small models can extract useful information on specific crime themes, such as drug trafficking, primarily from publicly available news sources. Relevant tasks include
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workplaces, test the importance of availability, accessibility and uptake of family friendly policies for parents’ work and wellbeing, and show organisational family friendly culture and mechanisms over time
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newspaper articles dealing with migration-related topics, and we are investigating how text and image analysis can provide insights into such a corpus. Research will include testing, validation and evaluation
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friendly organisational culture in European workplaces, test the importance of availability, accessibility and uptake of family friendly policies for parents’ work and wellbeing, and show organisational
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or have access to a wide variety of world-class laboratories, among which are UU’s Electron Microscopy Centre , the Geolab , and the Earth Simulation Lab . The latter houses the experimental facility
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building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or