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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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Successful candidates have strong skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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and organoid tissue culture models to study the LTM effects on inflammatory signaling and virus-induced carcinogenesis. Unique 3D-cell biology techniques as well as molecular biology techniques, such as
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, the School encompasses the broader field of Earth sciences, including economics and social sciences. Our program is open to applicants who have a Master's degree (with written thesis) in physics, geophysical
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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available in the further tabs (e.g. “Application requirements”). Programme Description Early-career scientists from all countries of origin and any subject carrying out further research work into the field
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image