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in one or more of the following programming languages/environments: Python, PyTorch (or similar), and experience with LLM frameworks (e.g., Hugging Face, LangChain) or data analysis tools. Hold a
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research area is assigned to a specific Research Center, of which there are twelve in total. Information regarding the Research Centers, their activities and research output is available at: http
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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LevelMaster Degree or equivalent Skills/Qualifications We are looking for an ambitious PhD candidate with the following requirements: 1. Data Integration and Management Ability to compile and harmonize large
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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Subject area: Applied economics Description of the doctoral project The research area is agricultural and food economics. This PhD project will focus on applied economic analysis of agriculture’s
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computational and data‑analysis methods and software, including simulation, modelling, and data management. To strengthen the field of computational science at the Faculty of Science, we are now advertising two
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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Technologies Key Responsibilities Conduct research activities under senior supervision Perform modelling, data analysis, and experimental validation Participate in lab testing, pilot installations, or fieldwork
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Extra Information N/A 4-year PhD scholarship Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff