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- Amsterdam UMC; 27 Sep ’25 published
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- Delft University of Technology (TU Delft); yesterday published
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crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining multiple advantageous traits. Contribute to groundbreaking research shaping the future
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production of chemicals and fuels through large-scale conversion of renewable electricity into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research
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at RIBES using machine learning and genomics to overcome linkage drag and accelerate crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining
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into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will develop and validate advanced AI models that integrate medical
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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for modeling temporal dynamics in longitudinal imaging and omics data. You will also develop explainable AI (XAI) techniques to link imaging features and molecular markers to clinically meaningful outcomes
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experience with animal research, X-ray based imaging and molecular biology research is required. Having obtained FELASA (working with animals) and TMS-VRS D (working with radiation) accreditation is a must
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are looking for a positive-minded scientist with a PhD, fluent in English – both in writing and speaking. Proven experience with animal research, X-ray based imaging and molecular biology research is required
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources