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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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Recent advances in ultra-narrow optical filtering, wavelength-stabilized lasers, and high-throughput spectrometers have made Brillouin and low-frequency Raman (LFR) spectroscopy practical, lab-friendly
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models on plant performance under diverse environmental conditions. We are seeking a highly motivated bioinformatician who is enthusiastic about the opportunity to develop own skills in an international
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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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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