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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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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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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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information, you may contact (please do not use these email addresses for applications): Ellen van der Werff, Associate Professor - Environmental Psychology, ellen.van.der.werff@rug.nl Gabriel Muinos, Assistant
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wet-lab and in silico work. You must Hold a PhD in molecular biology, biochemistry, or related disciplines. Have experience with basic molecular biology techniques (e.g., qPCR, western blot, cloning