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for embedded deployment (ROS II, Python/C++) on the AGV's onboard computers, balancing computational efficiency and robustness Collaboration & Validation: Work with Luxbotix to integrate autonomy software
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excellent training and career development, culminating in the award of a doctoral degree. The programme is designed to strengthen interdisciplinarity, employability, and facilitate transition to postdoctoral
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or socio-economic study of technology adoption in organisations Trustworthy AI, AI governance and regulation Information Technology Skills: Strong analytical and programming skills are required (Python and C
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for LLM-based systems Human-computer interaction and human factors Trustworthy AI, AI governance and regulation Information Technology Skills: Strong analytical and programming skills are required (Python
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development, applied machine learning, or data pipeline engineering Strong proficiency in Python development practices and deep learning frameworks, specifically PyTorch and MONAI Practical knowledge
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· Excellent programming skills in languages like Python, C, C++. · A proven ability to collaborate effectively within an interdisciplinary team · The capacity to conduct research autonomously
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or consequential LCA being a strong asset, particularly in combination with dynamic LCA · Strong proficiency in Python and Brightway; experience with C++ or other programming languages is an advantage
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on backend and deployment Strong knowledge of Python development practices and tools/frameworks; other programming languages are an asset Ability to lead and take ownership of software development
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an interest in econometrics, geo-spatial analysis, and/or modelling Foundational knowledge in at least one of the following programming languages/tools: STATA, R, Python, QGIS, ArcGIS Interest in applying
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, with a strong interest in design-oriented research Foundational knowledge in at least one of the following programming languages/tools: R, Python, QGIS, ArcGIS. Experience (or interest) in web