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Field
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highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
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crystal growth and structure–property relationship discovery. The successful candidate will join a highly collaborative research environment that integrates robotic experimentation, advanced
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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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infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear
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to publicly available data, in particular from DESI/Euclid and the Fermi-LAT telescope. Qualifications: Applicants should have: a PhD in cosmology or astrophysics (completed by the start date), demonstrated
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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signatures of axion production in dense media, with a particular emphasis on gamma-ray signatures, gravitational waves, and multi-messenger observables. Qualifications: Applicants should have: a PhD in physics
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activities in one of the following pillars: Pretraining Foundation Health Model: Leading the design and scaling of pretraining pipelines on nationwide health databases and structured longitudinal electronic
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Experience Doctoral (PhD) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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research projects and funding applications Co-supervise PhD and Master’s students and contribute to the teaching carried out within the section Participate in departmental activities, including