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analytical sciences. We are looking for talented people to join us. Your responsibilities include: Interdisciplinary research within the project "Complex and Competing Phenomena in Recycled Flame-retardant
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project will focus on development and testing of advanced drug delivery systems with antimicrobial and antioxidant properties for application in complex surgical wounds. The systems will be based on nano
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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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, complex dynamical systems analysis, efficient generative learning methods for statistical mechanics, highly accurate machine learning methods for quantum mechanics and inference and enhancement of cutting
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of Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs), with a strong emphasis on deploying these models on hardware-constrained edge platforms. The position focuses on developing robust
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candidate of the Graduate School LSM, you will be part of a vibrant, diverse, active, and truly international research community. We value interdisciplinarity, as it allows you to expand your research network
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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, implementation, operation and documentation of complex IT projects in the areas of IT infrastructure, servers, administration and data centers: User administration and rights management Network configuration and
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
(DZNE) and German Center for Child and Adolescent Health (DZKJ). The UMG is closely networking on the Göttingen Campus with the natural and life sciences institutions of the university as well as the non
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to environmental cues. Innovation drivers include the development of advanced technologies and the full integration of complex computational approaches to answer relevant biological questions. To learn more about