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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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fundamental questions including: How can we best simulate Hermitian and non-Hermitian strongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we
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simulation. The group also performs research on optoelectronics that are based on nanoparticles, offering unique opportunities to collaborate and to investigate the use of nanoparticles in Li-Ion batteries
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the physics of synthetic frequency lattices in fast-gain lasers. Job description Develop simulation frameworks for frequency lattices, mapping the interplay of RF modulation, gain recovery, and nonlinear
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to simulate the impact of system changes in selected scenarios, supporting the transition to a fully electric car-sharing service. These methods are adaptable to a wide range of spatial decision-making problems
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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application with the following documents: Curriculum Vitae, max. 2 pages Transcript of records Copy of Master or Bachelor Thesis (pdf) Contact details of min. 1 referee We exclusively accept applications