145 digital-image-processing-phd-scholarship Postdoctoral research jobs in Netherlands
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techniques and approaches. There will be ample opportunities to supervise PhD, MSc and BSc students in the group, and to become familiar with grant writing and funding acquisition. Careers advice and
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, experiments will involve testing (transgenic) mice in behavioral paradigms complemented by molecular and imaging techniques and subsequent data analyses. As such, we are looking for a candidate with an interest
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Indicators 79: 114-121. You will be part of the WP3 team consisting of Prof. Jan Hendriks, Dr Wilco Verberk, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and
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19 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile Recognised
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security-oriented workflows. This includes designing methodologies that ensure traceability, robustness and bias mitigation in AI models, as well as creating prototype tools that demonstrate how transparent
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major European initiative developing scientific foundation models (SciFMs) for materials science. SciFMs are emerging as a powerful paradigm for scientific discovery. SIMU-LINGUA addresses key challenges
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climate resilience of smallholder farming systems in Ethiopia and Kenya? Are you intrigued by understanding the drivers of scaling processes, and do you have interdisciplinary skills enabling you to conduct
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to developers and end-users. In addition, you will design processes to streamline regulatory queries and advice. Stakeholder engagement: you will build sustainable relationships with policymakers, regulatory
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to collaborate effectively with colleagues and project partners. Specifically, you have: Education: A PhD in a relevant field, with knowledge of structural mechanics, masonry mechanics, nonlinear finite element
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approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability