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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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): [email protected] Questions about your application process? Vesna Bacheva (Assistant Professor): [email protected] Website for additional job details https://www.academictransfer.com/364062/ Work Location(s
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
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quantum technology by training researchers who will help build the future of secure and efficient communication networks: the Quantum Internet. PhD project - Important the start date for this PhD is 1 st
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. Selection process For more information about the position, please contact Dr. Eva J. Meeus, assistant professor, via email: [email protected] . Questions about the procedure? Get in touch with Rutger Voorrips
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measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines
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questions, we are happy to help. You will work on the greenest and most innovative campus in the Netherlands, in an international and open working environment. Selection process For more information about the
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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implications for both fundamental and medical sciences. Job requirements MSc degree (or nearing completion) in physics, biophysics, computational biology, or a related field. Strong programming skills (Python