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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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project and interacting with the different partners and stakeholders in the project contributing to some teaching activities and possibly supervising Bachelor and Master students (20% of the time) Where
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Nijmegen School of Management Application deadline 22 February 2026 Apply now Join Radboud
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for resilience, and engaging with key stakeholders across the European space and security ecosystem. Main research topics: EO-driven threat detection and situational awareness: develop innovative methods
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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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research team and support us in our efforts to develop refined preclinical models for high-impact emerging viruses. You will be directly contributing to global pandemic preparedness efforts in a One Health
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this postdoc position you can contribute to both efforts. This is what you will do You will join a team of several PhD students and potentially other postdocs to further develop our continuous optical clocks
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have: A completed PhD in educational sciences, psychology, sociology or related field; Demonstrable interest in neurodiversity, disability or higher education studies; Strong communication skills in both
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given