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analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
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specialized through efficient fine-tuning and distillation to improve throughput in terms of both compute and data acquisition, while maintaining guaranteed performance on critical failure modes. This PhD
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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group in Utrecht University, which focuses on multimodal computer analysis of human behaviour. As a PhD candidate, you will be part of a vibrant inter- and transdisciplinary research community
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high-performance cathode materials with high capacity, high reversibility, and long cycle life, based on non-critical, low-cost, and abundant raw materials. The research will focus on experimentally
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theses and research working groups Desirable qualifications: Good knowledge of modern statistical analysis methods and experience with relevant software packages (e.g. SPSS, R, MATLAB) Initial experience
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spaces. The project also critically engages with the growing securitisation of heritage and tourism, whereby heritage sites are increasingly framed as objects of risk requiring surveillance, control, and
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critically examines how academic institutions evolve under pressure from new forms of knowledge production. Job description As societies face intensifying challenges such as climate change, social inequality
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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studies examining intersections in caregiving participation and outcomes. We in particular invite candidates who are interested or experienced in intersectional analysis, have an affinity with quantitative