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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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requested by us only if your application is considered For more information on the open position, you can contact Prof. Massimo Sartori, mail: m.sartori@utwente.nl. Please, only apply via the web platform and
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. Contact information of two academic references. You may apply for this position until 16 June 11:59pm / before 17 June 2025 Dutch local time (CEST) by means of the application form (click on "Apply" below
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only if your application is considered For more information on the open position, you can contact Prof. Massimo Sartori, mail: m.sartori@utwente.nl. Please, only apply via the web platform and not via
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salary from a minimum of € 4,060 to a maximum of € 5,331 gross per month (salary scale 10.4) for a full-time position after obtaining PhD. A holiday allowance of 8% gross annual income and an 8.3% end
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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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automized positional therapy. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical applications. Investigate the use of machine learning-based algorithms
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) permanent and temporary employees and iii) part-time and full-time employees using micro data such as EU-LFS and EU-SILC. The position comprises the following tasks: Conducting innovative research within
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the social origins of these different meanings; 3) improve alignment between (non-)governmental efforts and citizens’ perspectives by demonstrating how these meanings shape responses to information campaigns
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from each other and influence decision-making, and by educating the change agents of the future. More information For more information about this position, please contact Dr Luis Ramirez Camargo external