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from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close collaboration with societal partners. Within
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Research Infrastructure? No Offer Description Join imec at the forefront of semiconductor innovation and help develop next-generation photoemission methods for understanding materials, interfaces and devices
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from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close collaboration with societal partners. Within
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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between the archaeological (AMGC) and AI (FLAIR) teams, contributing to the development of a simulator of real-world archaeological search processes and to the AI methods that learn effective discovery
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archaeological search processes and to the AI methods that learn effective discovery strategies within it. You will combine archaeological and landscape data (maps, satellite imagery, archaeological datasets) with
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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. This project explores the use of laser-printed metal chalcogenides on flexible substrates to develop high-performance thermoelectric harvesters and coolers for wearable applications. In this project, the postdoc
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-sputum whole-genome sequencing within the DiSrupT RR-TB trial. The clinical trial will evaluate a multi-component intervention to reduce the transmission of RR-TB. A key component of the intervention is a
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and adapt assimilation schemes based on generative deep learning methods (such as flow matching and diffusion models). The candidate should have previous experience in data assimilation and/or deep