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reused to answer different kinds of questions. This PhD position focuses on developing a semantic model of geodata sources of a given map repository in terms of the questions they can answer, their
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many ways maps can be reused to answer different kinds of questions. This PhD position focuses on developing a method for parsing and formalising geo-analytical questions. You will explore hybrid AI
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to regenerative agriculture, including biological indicators that are often neglected in soil health monitoring programs. You will be part of a team of PhDs focusing on modeling soil processes at different scales
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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in C++ or Python. Affinity with education and logistics. A proactive, independent working style. Eagerness to work on achieving societal impact. A Certificate of Good Conduct (VOG) will be required
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tools and programming languages such as R or Python; an interest in working together with people from the food industry; you are an ambitious and highly motivated scientist; you are a creative researcher
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with Python, PyTorch, Hugging face Transformers library and works efficiently with them. Conditions of employment We offer in accordance with the collective bargaining agreement for Dutch universities: A
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approach to system configuration; Experience with containerization and CI/CD tools (e.g., ArgoCD, Git or GitLab); Basic knowledge of programming and scripting languages such as Python or Bash; Proficiency in
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive