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member in the Faculty of Science and Technology, in the following disciplines: IoT infrastructure and devices (sensors, embedded systems, etc.) Sensing technologies IoT security and privacy-enhancing
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frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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-supervised across the Institute for Theoretical Physics (ITP) by Dr. Farshid Jafarpour and the University Medical Center Utrecht (UMCU) by Dr. Ganna Rozhnova, and embedded in the Centre for Complex Systems
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to research in the field of embedded real-time systems. Excellent English skills. Where to apply Website https://jobs.uni-siegen.de/job/Researcher-Embedded-Systems-57076/1287606101/ Requirements Research
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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the transition from long, complex, internationally dispersed supply networks to more regionally embedded structures influences the performance, stability and strategic orientation of agri food systems
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using the model iLand. The work is embedded in the BETA-FOR project (https://www.uni-wuerzburg.de/for5375/) and will collaborate closely with the Forest Economics and Sustainable Land-use Planning group
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, themes, and frames embedded in health-related multimedia content disseminated through social media, websites, and digital platforms, with particular attention to health literacy processes in contexts