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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO₂ valorization in
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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science or similar. Experience with Fortran or other compiled software languages Experience with high performance numerical methods and parallelization Experience with writing and publishing scientific articles
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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and proposal preparation. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, networking, or related fields relevant
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: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. As formal qualification you must hold a PhD degree (or equivalent). You will
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to Transform Biomedicine) is a national research initiative aimed at developing innovative methods and software for analysing large-scale human biomedical data. Anchored at the National Centre for Register-based
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the emergent properties of the twisted membranes. Analyzing and interpreting the results obtained from the microscope. Formal qualifications PhD In Physics, Materials Science, Chemistry, Electrical Engineering
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Department of Computer Science, Aarhus University is looking for a Post Doc in Interaction Techni...
infrastructures. The interaction techniques will involve Information Visualization methods and Augmented Reality to support digital decision making in industrial work environments. The research should support
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations