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Field
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entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The person will: Conduct cutting-edge research across software engineering
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advanced applications of artificial intelligence and machine learning in a research lab environment. The role contributes to the technical vision and architecture for ML projects and software solutions
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, control and software development activities System integration Support simulation, prototyping, and validation phases ESSENTIAL REQUIREMENTS A PhD inMaster’s degree or PhD in Robotics, Aerospace Engineering
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author; - PC skills: MS Office (Word, Excel, PowerPoint), scientific databases, and software for primer design and sequence analysis (e.g., Primer3, NCBI Primer-BLAST, MethPrimer, SnapGene, or equivalent
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ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé
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including radiofrequency hardware and software, pre and post procession pipelines, and MRI data analysis. The position responsibilities include writing grant applications as principle and co-investigator and
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statistical software. Prepares reports and presentations based on research findings. Collaborates with team members and contribute to project discussions. Supports administrative tasks related to research
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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scalable multilingual AI systems. TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve