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the Natural Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors for a period of six years with the prospect of performance- based advancement to a tenured
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of the chemicals on droplet stability. You will be responsible for the following: Implementing AI imaging to analyze high-speed droplet movies. Relating the results to the HLD principle and performing its parameter
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, at www.sdu.dk/en/vejle . Who we are looking for An ideal candidate: holds a PhD degree in computer science or equivalent; has a research track record at a high international level, reflecting the academic age of
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available from February 1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate
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method development and DNA library preparation for Oxford Nanopore sequencing. Large experience in bioinformatics, machine learning and high-performance computing. Furthermore, excellent written and oral
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various types of quantum hardware, for e.g. information processing (such as distributed quantum computing), sensing, and for quantum security. It is expected to be highly advantageous if such a quantum
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clear anchoring in reality and benefit society as a whole. Ensuring gender balance at the Department of Electrical and Computer Engineering is a high priority at Aarhus University, and we particularly
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metagenomics and Oxford Nanopore Technologies sequencing. Large experience in bioinformatics, machine learning and high-performance computing in relation to microbial metagenomics and analysis of horizontal gene