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, giving rise to complex lesions. GSI is working on the quantification of such complex lesions in particular in dependence on radiation type. Within this program, the GSI biophysics department offers a PhD
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and
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the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient