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transcripts, and online job vacancies. The project is primarily funded by the UKRI Metascience unit. The Research Fellow will work in collaboration with a team of top innovation scholars, economists, data
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database of ca. 8 million stories, including information extracted from the full text of the stories via NLP techniques. Some information is already available in structured format, some other can be imported
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biology and systems chemistry/complex molecular systems. The research programme of the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular
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, transport options and CO2 sources, as well as data on local regulation, (market ready) technologies and associated costs. The aim is to develop a (semi-)automated data acquisition workflow that will allow
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of mechanical and physical properties of thin carbon/boron-nitride nanotube (CNT/BNNT) films. The goal of the project is to calibrate an existing numerical model and reproduce the realistic mechanical properties
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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available at the Advanced Production Engineering (APE) research group, Engineering and Technology Institute Groningen (ENTEG), Faculty of Science and Engineering. For more information about the APE group
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transformation of RIDE into a modular, interactive digital tool (integration with existing university systems, no programming required). Finish the ethical approval process. Phase 1 – Design Research (6 months
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Your job Are you passionate about cancer research? Excited to dive into biological pathways and complex data analyses in an epidemiological setting? Eager to work within an ambitious and