Teaching
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1. Strukturiertes Programmieren
Vorlesung: Prof. Dr. Peter Dittrich
Montag, 10:15h - 11:45h; SR 317 CZ3 &
Mittwoch, 10:15h - 11:45h; SR 113 CZ3
Beginn: 16.10.2023Praktikum: Prof. Dr. Peter Dittrich
1. Gruppe: 12:15h - 13:45h; LinuxPool 2 EAP2
2. Gruppe: 14:15h - 15:45h; LinuxPool 2 EAP2
Beginn: 17.10.2023 -
2. Grundlagen der Systembiologie
Vorlesung: Prof. Dr. Peter Dittrich
Montag, 14:15h - 15:45h
Ort: SR 3517, EAP2
Beginn: 16.10.2023Übung: Prof. Dr. Peter Dittrich
Mittwoch, 12:15h - 13:45h
Ort: SR 023; AB4
Beginn: 18.10.2023 -
3. Systembiologie (MMLS.G2)
Vorlesung: Prof. Dr. Peter Dittrich
Dienstag, 16:15h - 17:45h
Ort: kleiner HS, Erbertstr.
Beginn: 17.10.2023 -
4. Literaturseminar - biologische Information
Seminar: Prof. Dr. Peter Dittrich
Freitag, 14:15h - 15:45h
Ort: SR 3517 EAP2
Beginn: 20.10.2023
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Virus Dynamics
- Integrated Model of Virus Dynamics and Social Dynamics
- A Tool for Comparing (Virus-) Dynamical Models using Chemical Organizations
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Chemical Organization Theory & Origin of Life
- Measuring Chemical Organizations
- Detecting Autocatalytic Processes in Complex Chemical Soups
- Study Structure of Autocatalytic Networks with Structure-Function Mapping
- Evolvability of Self-Sustaining Autocatalytic Networks
- Generalized Autocatalytic Networks with Graph Grammars
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Code Biology and Theory of Semantic Information
- Measuring Semantic Capacity in Real Chemistries
- Finding Molecular Codes in Large Reaction Networks
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Evolution of Novelties
- Evolutionary Motives in Evo-Devo
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SR-Sim : Rule-based modeling in space
- SRSim Topic: A parallel Version (in C++) of the rule-based spatial simulator SRSim
- SRSim Topic: Demonstrate phase-separation in SRSim
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Genetic Programming
- Genetic Programming: Self-modifying Genetic Programming
- Iterated Mutual Observation with Genetic Programming
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Systems Biology
- Chemical Organizations in Whole Cell Modells
- Systems Biology of Meiosis
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Computational Social Science
- Reveal autopoietic structures in social communication systems
- Iterated mutual observation - double contingency problem
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Bio-Sensors and Bio-Robotics
- Modelling and Simulation of Bio-Sensors, e.g., cancer marker diagnostics (NEW, with IMMS)
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Available Hardware
- Standard computer science environment (desktop computers, printing, office space, SSD-based file server & backup, library)
- For computing a local batch system with approx. 20 CPUs for exclusive use
- One machine with 16 cores (2 CPUs) and 384 GB RAM for exclusive use
- 3D-printer (Ultimaker), HTC vive (for virtual reality)
- potentially access to a shared central compute cluster (ARA cluster, approx. 200 CPUs and 2000 cores)
Students who are interested in doing a research project with us can request a detailed list of topics from peter.dittrich@uni-jena.de or by telephone on 03641 946460.
For a research internship with a small scope (about 6 ECTS = 180 hours = 4.5 weeks) or the project module, the question and task must be clearly simplified and delimited in advance.