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Are you passionate about education and addressing societal challenges? We are offering an exciting PhD position focused on balancing disciplinary and transdisciplinary competencies in engineering
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Description As a PhD candidate in Mathematical Statistics, you will develop novel methods for the analysis of temporal data. Of specific interest are monitoring procedures for structural breaks, which find
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For more information about the position, please contact Dr. Ilse Voskamp, assistant professor, email: ilse.voskamp@wur.nl. Questions about the procedure? Get in touch with Jessa Rozema, Corporate
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data
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expertise in theory-driven empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social
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, integrated long term designs that are supported by sound analyses, thoroughly tested and are co-created with societal stakeholders? Then you could be the ideal PhD candidate to join our team! In the Fertile
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fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant
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, and supportive atmosphere, equipped with state-of-the-art research facilities, including dedicated GPU clusters, data servers, and personal GPU-enabled workstations. You will join a multidisciplinary
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stimulation. Analyzing MRI and EEG data to identify patterns that could lead to personalized TMS protocols. Writing scientific papers and your PhD thesis, contributing to the advancement of personalized brain