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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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Enthusiasm and excellent collaboration skills Passion for computational modelling Strong oral and written skills in English As a formal qualification, you must hold a PhD degree (or equivalent) in machine
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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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appointment in the lab. You will report to the Professor Marina Romero-Ramos Your competences We are seeking a highly motivated and independent postdoctoral researcher with a background/PhD in computational
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of Molecular Biology and Genetics at Aarhus University seeking to understand RNAs role in the onset of Darwinian evolution. The lab takes inspiration from simple natural replicons for engineering RNA systems
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees
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of Biology with collaborations at the Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany and the University of Southern Denmark - SDU, Odense, Denmark. The postdoctoral fellow will benefit
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energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
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The position is hybrid, but primarily laboratory-based. A strong experimental profile is essential. We are looking for a candidate who: Holds a PhD in molecular biology, biochemistry, pharmacology, protein