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Field
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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to repair and remanufacturing, supporting sustainable production methods for the future. Responsibilities and qualifications You will join the Section of Manufacturing Engineering at DTU Construct, working
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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) of the reManuFactory project. Engage companies through Co-Labs, Pilots, and Drop-In formats, to be demonstrators of the methods developed in the wider reManuFactory project. Help organize BEng, BSc, & MSc course
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. Your work will be central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Construct is seeking a Postdoc to develop robust metrics and data collection methods
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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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to partake the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental