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aim of translating findings into clinical trials. This project has two main objectives: Developing novel hardware and software technologies for advanced preclinical imaging and irradiation. Refining
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vegetation and biodiversity. Does this sound like you? You are passionate about both fundamental and applied research. You hold a recent PhD degree in biology, ecology, environmental science or another field
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technologies is gaining traction at least in the academic world. However, methods are still lacking to suitably assess the environmental profile of circular PV, as current approaches rely on state of the art
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principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as
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, digitalization and decision support system for sustainability and circular economy. The main responsibilities within this role concern: Establishing data exchange protocols with data providers in the sectors
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research. Job requirements We are looking for outstanding experimentalists that are eager to participate in our research. The group aims at research at the highest international level. Candidates that fit
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international level. Candidates that fit into this environment are invited to apply. Experience in fields such as NPC, DNA origami, IDPs, MINFLUX, biophysics, single-molecule techniques, and optical imaging is
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, digitalization and decision support system for sustainability and circular economy. The main responsibilities within this role concern: Establishing data exchange protocols with data providers in the sectors
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improve both imaging quality and treatment precision in rodent models, with the ultimate aim of translating findings into clinical trials. This project has two main objectives: Developing novel hardware and
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
by taking software production as our main protagonist. We ask how software production has come to increasingly take place in an agile production environment we call ‘computational infrastructures