36 embedded-system-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions at Technical University of Munich
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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” Project context The PhD position is embedded in the DFG Research Unit “MultiStress - Concurrent multiple abiotic and biotic stress interactions in maize: impacts and mecha-nisms” (RU 6101). The MultiStress
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Research with greater impact 19.03.2026 “The German health care system requires especially robust evidence” 19.03.2026 First world map shows impact of the tidal pulse in coastal rivers 19.03.2026 Hope
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the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13
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06.02.2024, Academic staff The Livestock Systems research group at the TUM School of Science in Freising is recruiting a PhD student (m/f/d) to work on evaluating smart technologies applied in
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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research project focuses on regulatory T (Treg) cells and investigating their context-specific identity and function in B cell-driven autoimmune diseases. This collaborative project is embedded in
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for modern technologies, including renewable energy systems, electric vehicles, and digital electronics, yet their supply chains are fragile, and recycling rates remain low. Developing efficient and selective