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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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/jobs/355103/phd-candidate-in-molecular-impr… Requirements Additional Information Website for additional job details https://www.academictransfer.com/355103/ Work Location(s) Number of offers
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an electrochemical sensor platform for PFAS detection in environmental and food samples. PhD candidate in Molecular Imprinting and Device Fabrication at the Sensor Engineering Department Job Description This PhD
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English. Has a positive attitude. Is able to work independently. Prior experience with molecular simulation, ab-initio, or macroscale modeling is not strictly necessary, nevertheless, will be considered a
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discussed and arranged so that they allow for the best possible work-life balance; the option to accrue additional compensation / holiday hours by working more, up to 40 hours per week; there is a strong
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and consequences of localized translation, following up on our recent work (Ramalho et al, 2025, Sci Adv). You will combine ribosome profiling and organoid models with molecular and computational
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and biochemical tools in the context of a dynamic and enthusiastic work environment, with state-of-the-art equipment and various chances for national and international scientific collaborations. We
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excited about discovering the ultrafast world of functional organic molecules? Join our team and explore the fascinating universe of molecular photochemistry using cutting-edge time-resolved spectroscopy
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employment benefits, take a look here. This is where you will work You will work at the Van 't Hoff Institute for Molecular Sciences (HIMS), one of eight institutes of the University of Amsterdam (UvA