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diseases. The Project Assistant will primarily focus on processing and analyzing large-scale proteomics datasets. The Project Assistant will develop workstreams and execute existing omics and machine
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) within InfraVis/CIPA, you will have access to both local and national colleagues for stimulating exchanges, discussions, and joint efforts to solve complex challenges, develop new methods, and support
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the framework of the project, one co-authored and one single-authored. Present the project and its research findings at academic conferences. Develop ways of disseminating the project's results to wider audiences
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education and development initiative focusing on creativity, cultural heritage, placemaking, and entrepreneurship. The project aims to develop master’s-level modules that strengthen future competences within
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approach. In short, you will be trained to think critically and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
disease models (e.g., AD/PD) Ability to develop independent research directions Preference will be given to applicants who have obtained their PhD degree no more than three years prior to the application
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environment for research and education in energy systems, fluid mechanics, and sustainable technologies. The Division of Fluid Mechanics conducts advanced research in reacting flows, multiphase flow physics
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and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your
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University. Our mission is to conduct research and educate on how energy systems can be developed for a sustainable future. The department has extensive experimental operations, including one of Europe's
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these fields, demand for GPU resources for AI has increased significantly in recent years. We operate modern HPC clusters, visualisation resources and advanced storage systems, and continuously develop new