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are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC
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, such as motion capture, electromyography, inertial measurement units, advanced data processing, numerical methods, optimization procedures, statistics, research ethics and management of personal data
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professional information from Associate Professor Kristian Olesen, Research Group of Planning for Urban Sustainability, 99407211, kristian@plan.aau.dk. Qualification requirements Appointment as assistant
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handle multiple priorities at once, solve problems independently, and adapt quickly to changes. You understand the importance of confidentiality and trustworthiness and handle sensitive information with
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). Youmayobtainfurther professional information from Professor Malene Freudendal-Pedersen, Research Group of Planning for Urban Sustainability, 99402482, mfp@plan.aau.dk. Qualification requirements Appointment as
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to: Gas sensor selection and characterization Embedded system integration Mechanical design (CAD) and 3D printing Data collection and analysis Basic machine learning for sensor data interpretation Start
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and evaluation. Ensure stakeholder engagement by staying in regular contact and providing updates. Create engaging experiences that deliver value for participants and presenters Analyze data and
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, the AI lab will foster collaborations across disciplines and push boundaries in analytical and generative AI for research data transformation. The Opportunity We are seeking a committed and visionary LLM
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data). Track variation and process capability, identify and support continuous improvement initiatives. Involvement in tool development for enabling new fabrication technologies. Analyse requirements
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Verification and Validation ; Data Engineering, Science, and Systems ; Distributed Sustainable Software and Systems ; Formal Methods for Security and Privacy ; Foundations for Interacting and Computing Systems