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software development for high-performance computing as part of the EuroCC3 project. Expected start date and duration of employment This is a 34-month position from June 1, 2026 or as soon possible. Job
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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work
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be responsible for the day-to-day operation – and along with the rest of the team, you will help develop the programme even further with new participants and funding model(s). The role does not include
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cancer, inflammation, neuroscience, and personalized medicine. The department provides high-quality research-based teaching and contributes substantially to the medical degree programme. With around 500
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working in a Linux-based high-performance computing environment. Prior experience with analysis of NGS and single-cell sequencing data, preferably experience with BCR and TCR sequencing analysis. Sound
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₂ Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology. Our
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– both independently and in collaboration with others – to the development of the department by leading research of high international quality and contributing to ensuring a high academic and didactic
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research