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aims at understanding how antimicrobial heteroresistance and more generally phenotypic heterogeneity evolves in bacteria. As a model, we will focus on the opportunistic bacterial pathogen Pseudomonas
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-Projects/index.html ); and (C) the network of SCRIPTS international partner institutions, where the proposed research stay may be hosted (https://www.scripts-berlin.eu/about-us/internationalization
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dynamic and future-oriented market at the interface between science, business, and politics. Work in national and international networks with universities, research institutions, and industrial companies We
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods
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. Rather than focusing on injury, this project investigates pure adaptation in living kidney donors—a unique human model in which individuals lose 50% of kidney mass yet show remarkable compensatory growth
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correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de)confinement in string-net models - Quantum field theory
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and (on-site) appointments Vacation: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's) Flexibility: Flexible working time models, including options
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM