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researcher who wants to work on the incoming mission data before and shortly after they become publicly available. You will focus on the data products for vegetation structure and photosynthesis. Your main
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partners at WUR, ICRISAT, the University of Diffa, Sahel Consulting Group, and the Ministry of Environment. Support the project management structure led by PIs Aker and Bulte, including preparation
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
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open standards and structured APIs. Hosted at TU Eindhoven, OpenML serves over 300,000 users, has supported over 2,000 scientific studies, and won the Dutch Data Prize. We are looking for an excellent
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communication and teamwork skills. Preferred qualifications and experience Structural biology and cross-linking mass spectrometry; Workflow automation and reproducible data analysis pipelines. Additional
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: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data collection and analysis, including semi-structured interviews
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strands of data collection and analysis, including semi-structured interviews with undergraduate students and analysing coursework artefacts; analysing how students interpret, evaluate, and represent
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport
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-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement