Structure and Dynamics of Molecular Machines
Prof. Karl Duderstadt
Research Field
A description of the fascinating research topics follows soon. You may have a look at the group’s homepage (see links on the right).
Members of the Research Group
Professor
Photo | Degree | Firstname | Lastname | Room | Phone | |
---|---|---|---|---|---|---|
Prof. Dr. | Karl | Duderstadt | – | +49 89 8578-3033 |
Scientists
Photo | Degree | Firstname | Lastname | Room | Phone | |
---|---|---|---|---|---|---|
M.Sc. | Barbara | Safaric | – | – |
Teaching
Course with Participations of Group Members
Titel und Modulzuordnung | |||
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Art | SWS | Dozent(en) | Termine |
Physical Biology of the Cell 2 – Motors, Motors, Motors and Biological Design Principles
eLearning-Kurs LV-Unterlagen Zuordnung zu Modulen: |
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VO | 2 | Duderstadt, K. |
Di, 14:00–16:00, PH II 127 |
Seminar to Physical Biology of the Cell 2: Current literature on cell biophysics
LV-Unterlagen Zuordnung zu Modulen: |
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HS | 2 | Duderstadt, K. |
Di, 16:00–18:00, PH 2271 |
Macromolecular Machines Involved in DNA Replication Zuordnung zu Modulen: |
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SE | 0.5 | Duderstadt, K. | |
Recent Advances in Single-Molecule Imaging of Protein Nucleic Acid Complexes Zuordnung zu Modulen: |
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SE | 3 | Duderstadt, K. |
Current and Finished Theses in the Group
- Design and implementation of a machine learning algorithm to improve MaxQuant's inference process of precursor-fragment groups in data-independent shotgun proteomics
- Abschlussarbeit im Masterstudiengang Physics (Applied and Engineering Physics)
- Themensteller(in): Karl Duderstadt