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seeking expressions of interest from highly motivated and talented individuals interested in pursuing a PhD in the broad domain of Embedded and Cyber-Physical Systems. About Us At the SoftCPS Laboratory, we
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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). Motivation to pursue a doctoral degree and contribute to applied AI research. Excellent English skills. Where to apply Website https://jobs.uni-siegen.de/job/Researcher-Embedded-Systems-57076/1278853401
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ideal conditions for you to complete your doctoral degree: Outstanding research environment and infrastructure: The position is embedded at Forschungszentrum Jülich (FZJ), one of Europe’s largest
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Job Description This search is being managed by Isaacson, Miller. For full consideration for this role, please apply at the Isaacson, Miller website at https://www.imsearch.com/open-searches
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or runtime verification techniques for continuous dynamics and hybrid systems; Development of formal verification techniques and their integration in model-based design environments; Model checking of embedded
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. This project will involve formalising and integrating the contributions of : (i) model-based and data-driven systems engineering (MBSE), (ii) embedded frugal (explainable and robust) AI, and finally (iii
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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bioinformatics to understand the functional role of lipids in the development of glioblastomas. The project is embedded within these activities, ensuring a stimulating scientific environment at the interface
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an independent research program, strong collaborative skills, and evidence of interdisciplinary research engagement. This position is embedded within a highly interdisciplinary research environment and offers