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description You will be working primarily with collaboration parters of remote handling and maintenance under the EUROfusion program The position will focus on aspects of dynamics and control of robotic
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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, the position entails developing, organizing, and teaching the equivalent of one MA course per year as part of the Political Science program at Aarhus University. Your qualifications Applicants are expected
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Experience in planning and conducting field-work Experience in planning and conducting laboratory work within nitrous oxide field measurements, soil sampling and the quantification of soil physical, biological
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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tasks, please do not hesitate to contact Associate Professor Viki Lyngby Hvid at vikip@ps.au.dk . If you need help uploading your application or have any questions about the recruitment process, don’t
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to