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focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how-to-store
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both selectivity and recovery efficiency. Working closely with our experimental collaborators, you will analyse and model experimental data to efficiently explore the large design space of membrane
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information). If applicable: List of relevant projects and publications. Optional: A letter of recommendation from your MSc thesis supervisor. Applications will be reviewed starting 30 April 2026 and will
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can find information on the use of cookies and the use of your data as well as objection options in our privacy policy. Functional External services
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principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with spectroscopic signatures. Formal requirements include a Master's degree in
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, we not only want to build bridges between the real and virtual worlds, but also act as a link between academic mathematics and its practical application. That is why our close ties to the Department
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an active student scene and a diverse cultural life. Within the framework of the GENAI-X project, the Model-Data Integration group within the Department of Biogeochemical Integration at the Max Planck
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 days ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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Degree PhD in Health Data Sciences Course location Berlin In cooperation with Institute of Public Health, Charité - Universitätsmedizin Berlin Institute of Biometry and Clinical Epidemiology