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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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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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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