238 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Kiel-University" positions in Sweden
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12 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Computer science Engineering Information
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to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2025/researc… Requirements Research FieldEngineeringYears of Research Experience4 - 10 Research FieldEngineeringYears
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than 1,800 employees and nearly 21,600 students. As a Professor and Head of subject in Computer Science at Luleå University of Technology, you will lead and further develop a research and education area that
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The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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at strengthening research and educational environments within battery technology and electrification. Within COMPEL, the three institutions - Chalmers University of Technology, Lund University, and Uppsala
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degree in a natural science or technical field relevant for the tasks of the employment (e.g. computer science, software engineering) Fluency in English, both written and spoken Experience in developing
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Project description Third-cycle subject: Polymer Technology / Materials Science We are building a long-term research environment in nuclear technology at KTH to deliver safer life extension
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Job description We are looking for a highly motivated postdoctoral researcher for a joint project between the
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass