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instrumentation of technical processes and systems, with close connection to applications and applied research. Project description Your work will be embedded into a cutting-edge research project dedicated
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in
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About the Opportunity This postdoctoral position offers an opportunity to conduct leading-edge research in embedded security with applications to healthcare and medical device cybersecurity
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embedded into a cutting-edge research project dedicated to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE
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interdisciplinary field of cyber risk modelling and prediction. The project is conducted in close collaboration with the Faculty of Military Sciences and the Joint Sigint Cyber Unit, and is embedded within
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identities embedded within these tombstones. Corresponding work packages will address these objectives. The postdoctoral researcher will undertake research associated with the Work Packages focusing
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to expand your toolkit in others. What we offer A highly collaborative, supportive environment spanning wet‑lab, computational, and translational efforts, embedded in the Department of Biochemistry
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South. Embedded in international networks (TUM SEED Center & TUM ENERGISE Centre). Start: June 2026. The Chair of Corporate Sustainability (Prof. Belz) at the Technical University of Munich invites
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is embedded in an internationally visible research group with strong ties to leading academic institutions and industry partners, providing excellent opportunities for interdisciplinary collaboration