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strong academic background and hold a Master’s degree (or equivalent) in a relevant engineering field, such as control engineering, robotics, automation, marine technology, computer science, or similar
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scientists and oceanographers in assessing ecosystem status. (2) Data Scientist able to build automated data‑collection and processing pipelines tailored to research questions such as fish seasonality and diel
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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of bio-oil compositions Developing semi-automated and validated data processing tools and workflows for one- (1D) and two- (2D) dimensional chromatography data Correlating bulk analysis with the more
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will contribute to, and lead, include: Building and operating ultra-high vacuum and laser systems. Building electronics and automation schemes. Learning/operating fabrication and characterization
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or in industrial settings Publications in relevant academic journals or conferences Research Environment The PhD stipends are within the Robotics and Automation Group and the Mass Customization Group
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analysis (LCA) Data processing, incl. artificial intelligence and machine learning Serious gaming incl. AR/AV/VR Automation and robotics, incl. human-machine interaction Approval and Enrolment
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-mobility, automation, climate solutions, and energy efficiency. Research at the Centre encompasses a diverse array of fields such as cyber-physical systems, mechanical structure integrity, renewable energy