73 post-doc-image-engineering-computer-vision Postdoctoral positions at Aarhus University in Denmark
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities and salary range
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Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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soon as possible thereafter. The position is a fixed-term full-time position for 2 years. Department of Clinical Medicine As a Post-Doc at the Department of Clinical Medicine, you will be part of what is
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position offering an exciting opportunity to contribute to the work on reactor
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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per 1 May 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 1 year and 8 months. Department of Clinical Medicine As a post doc at the Department of Clinical
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-bacterial electron transfer in these systems. By combining cultivation-based microbiology with electrochemical approaches and high-resolution imaging, the work will directly probe how energy metabolism is
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural