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conduct patient-centric research and development to improve clinical processes for the benefit of our clinical partners and, in the end, patients. Be part of change In Germany, public healthcare information
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. The research and development work in SSE is carried out in close cooperation between the two institute locations in Darmstadt and Heilbronn. As a department, we deal with all facets of software and system
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with three tenure-track professorships at the University of Tübingen and a W3-professorship at the University of Hohenheim. TERRA will develop an integrated understanding of how geo-biosphere interactions in
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-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
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, or related field Proven experience in omics data analysis Knowledge of Bioconductor/R for biological data analysis Experience in object-oriented software development and building of modern web-based
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, ...) Evaluation/benchmarking based on standardized metrics in the context of ML (e.g., accuracy, BAC, Brier, mAP, ROC, AUC, and many more) as well as functional tests Development of UIs and web apps using common
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project with the start-up Kukan, we are looking for a Working Student in Fullstack Engineering. In cooperation with the start-up Kukan, we are developing innovative applications that combine 3D Gaussian
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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approaches to Artificial General Intelligence (AGI) that go beyond LLM-centric paradigms. We are seeking a postdoctoral researcher interested in developing new research directions, including work related to
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Expertise in software development with Python, database and search engine technologies, machine learning frameworks, semantic web technologies, Docker Desired: expertise in working with scholarly data