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Field
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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varied job in a future-oriented research institute A state-of-the-art infrastructure and the latest technologies Flexible working hours, part-time models as well as home office A corporate culture of
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technology (specifically, multimodal modelling) focusing on the complete spectrum of human communication channels. It aims to understand how women and men remember about their time in Nazi concentration camps
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and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials
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goals set by the International Maritime Organization. Moreover, AI can simulate and evaluate countless operational scenarios, helping ship operators make informed decisions that balance performance with
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working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments FLEXIBILITY: Flexible working time models, including options close to full
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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homeostasis and its impact on altered immune cell output over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq