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; • Proficiency in programming; • Proficiency in additive manufacturing-related software, including 3D modelling and path planning; • Ability to integrate sensors (e.g. laser scanning, thermal imaging) for
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing
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the advanced modeling and simulation. Responsibilities: Manage the projects with the defined milestones and deliverables Manage day to day laboratory activities and a team of researchers Manage laboratory
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techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s development team Interacting with Continental business areas
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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace
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Science, or a related field. • Strong understanding of heat and mass transfer, thermal comfort, and indoor environmental quality. • Proven experience in CFD modelling for airflow and heat transfer
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and