83 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Netherlands
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- University of Groningen
- European Space Agency
- Utrecht University
- Leiden University
- Radboud University
- Wageningen University and Research Center
- University of Twente (UT)
- Radix Trading LLC
- CWI
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Maastricht University (UM)
- Delft University of Technology
- Delft University of Technology (TU Delft); Delft
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University; Leiden
- Maastricht University (UM); Maastricht
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Wageningen University & Research
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experience with knowledge graph standards (e.g., RDF, OWL, SHACL); familiarity with GIS, geodata infrastructures and geo-analytical workflows some experience with AI and machine learning methods to label texts
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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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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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI. Proficiency in Python, leading ML frameworks
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applications of AI. Proficiency in Python, leading ML frameworks (e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT
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, the project will enable the evaluation and optimization of resilience strate-gies. The framework will be validated through pilot studies, ensuring its applicability to real-world industrial chal-lenges
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environment; You are experienced with Python and/or similar programming languages; You are fluent in English. Additional Information Benefits A full-time position for four years, with a qualifier in the first