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sustainable way of dealing with their health conditions. The technical challenge within this project lies in the huge variance of the data. Furthermore, the app needs to be able to work with sparse incomplete
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quickly derive the necessary information from noisy, incomplete, real-world data. Furthermore, the algorithms to be developed within this project will be implemented on automated beds that provide fully
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past and/or current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed
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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