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Join us to explore the mechanics of soft matter through a unique blend of theory, hands-on experiments, and machine learning. Job description Soft matter such as polymers and hydrogels
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mining has allowed us to obtain insights from large amounts of data for decades, and it is worth revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern
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useful for research, education, and industrial use. Your research will be published and presented at international AI, software engineering, and security venues. The position is focused on discovering new
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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, simulations and cutting-edge data to uncover the origins of black holes and neutron stars, linking theory with the latest discoveries in this rapidly growing field. It has been just over a decade since the
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expressed in the PURE system. The project is part of the EVOLF consortium. We search an applicant with a biophysics background. Job description We are looking for outstanding experimentalists that are eager
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? No Offer Description This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University
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Published Wednesday 15 Oct 2025 Deadline Wednesday 19 Nov 2025 Work area PhD Organisational unit Erasmus School of Law (ESL) Salary € 3.059 - € 3.881 Employment 1 fte - 1 fte Introduction Erasmus
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societal challenges while at the same time being theory-driven and contributing to a refined understanding of psychological processes in the context of work. We value collegiality, knowledge exchange, and
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design. Their research contributes to the theory and practice of sensory and cognitive communication and augmentation design and the section is unique for its cross-disciplinary approach to design for real