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languages and sustainable methods in furniture design and craft. The future is in motion – how can analogue and digital craft spark new forms and strengthen education, research, and society? Join us as a PhD
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student and help build tomorrow’s craft and design heritage. Craft the future! Your work assignments The aim of this PhD position is to investigate how upholstery craft and furniture design can advance
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application! Your work assignments The primary focus of this PhD position will consist in generating bioengineered models of human trigeminal pain, implement them in organ-on-a-chip systems emulating trigeminal
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related to staff position within a Research Infrastructure? No Offer Description Description The Electron Microscopy of Materials (EMM) unit at Linköping University invites applications for a PhD position
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critical security risks that remain poorly understood. Among these risks, memory poisoning attacks pose a severe and immediate threat to the reliability and security of LLM agents. These attacks exploit
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application! We are looking for a PhD student in automatic control. Your work assignments You will work on a project on data driven control. In recent years, data-driven control in high dimensions has
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application! We are looking for a PhD student in Radioecology and Environmental Radiochemistry Your work assignments As a PhD student, you will explore one of today’s environmental challenges, namely, how
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. This broader development will be done in a multidisciplinary team of mathematicians, data scientists, material scientists, and physicists. Your workplace and research environment This Postdoc position will be
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to energy systems and heating, ventilation and air-conditioning systems (HVAC) in both the residential and the industrial sector. As a PhD-student you will be part of two main research areas, comfort cooling
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive