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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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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
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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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are as follows: Estimate the onshore technical and economic potential for CCUS in rural areas in Germany, the Netherlands and Norway. Gather high resolution spatial explicit data on (potential) CO2 sinks
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of data that can be utilised in empirical research: In collaboration with five partners within the consortium, we have designed and fielded the TransEuroWorks Public Opinion Survey. As part of this survey
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the inspiring research group of Economic and Social History external link , one of the world-leading groups in the field. Your qualities You bring the following qualifications: a PhD in social, economic and/or
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and research have a strong experimentally technical
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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in