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biodiversity. Lastly, you will co-design and teach an educational module on dike vegetation and biodiversity. Where to apply Website https://www.academictransfer.com/en/jobs/354377/postdoc-position-plant
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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Village to calibrate and validate models. Investigating control strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners
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environment. THE CANDIDATE You hold a PhD degree in marine ecology, molecular / microbial ecology or related disciplines (awarded prior to the start date of the project). You have experience in organizing and
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test
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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark
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relevant social science; Demonstrable knowledge of and experience with laboratory experiments. In case of no or little experience, a strong motivation to acquire this knowledge and expertise; Demonstrable
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling