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, ecological drift and dispersal) and evolutionary biology (selection, genetic drift and gene flow) shape eco-evolutionary community dynamics. Your role Develop a theoretical model (e.g., individual-based
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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and cell type-specific effects of mutant IDH1 on genetic and epigenetic integrity and the resulting transcriptional aberrations that provide a fertile soil for malignant transformation. These studies
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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• Integrated sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard
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for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. We see ourselves as an interface between the stakeholders building physical
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and tissue regeneration. We are investigating both basic and applied aspects of Treg cell biology1-4. Using synthetic immunology, we have genetically engineered Treg cells so that the reprogrammed cells
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US