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set up reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses and/or workshops (some of which
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the core/international research team. Job description As part of your employment, you are expected to: Lead the development of your own PhD research, aligning it with the work package (WP3) objectives and
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such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
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will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who
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and structured approach to work, work independently, are able to find and use knowledge from experts. You have sufficient proficiency in English (level C1 or Higher) to read scientific literature
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partners: ASML and DCODIS (a start-up). This is technically challenging applied research with as main outcome a proof-of-concept tool that allows developers to quickly find and fix software errors including
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to critical metal exploration in magmatic settings. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated
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evaluate them alongside newly developed approaches. Integrating methods such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary
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are expected to: Lead the development of your own PhD research, aligning it with the work package (WP3) objectives and overarching project themes. Collaborate closely with your supervisors at Khulna
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tool that allows developers to quickly find and fix software errors including security vulnerabilities. You will innovate the Find2Fix pipeline by making the different steps, including found issues and