56 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Twente in Netherlands
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platforms capable of efficiently tackling some of the most challenging computational problems in science and industry, underpinning applications ranging from materials discovery and quantum chemistry to
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research; Study the opportunities and challenges associated with developing novel forms of digital work for inclusion by sheltered workplaces and other social/work integration enterprises; Collaborate with
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Respiratory Care group, EIT expertise center), two internationally leading institutes in respiratory and mechanical ventilation research. Open Science NL provides the funding to stimulate open, reusable
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of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With
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electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
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Optimisation and Operations Research. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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, under the supervision of Dr. ir. Raffaele Sommese, Dr. Antonia Affinito, and Prof. Dr. Anna Sperotto. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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develop scenarios, integrate NO REGRETS data and simulation models, and connect interaction technology to the MSP Challenge. Your scientific contributions, both situated in the field of Human-Computer
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email adress: ozlem.durmaz@utwente.nl. About the department You will join the Pervasive Systems research group within the Department of Computer Science. The Pervasive Systems research group envisions a
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approaches often fail to consider lifecycle performance and the unique constraints of AM processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that