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such as multi-level models, target trail emulation, mediation analysis and g-computation Supervision of bachelors’ and masters’ students You will report to Professor Christina C. Dahm. Your competences You
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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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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
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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, Recombinant protein expression and purification, biochemical and biophysical characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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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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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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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development