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literature analysis, focusing on disentanglement, AI, XAI, and human-centric data analysis. · Elaborate validation use-cases, designing and planning data collection studies under controlled conditions
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in electric fleet planning and management, and in integrated transport and energy management systems. This will likely result in publication of at least three high impact factor journal papers in
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
beneficial properties; their industrial applications include hard alloys and ceramic-metal composites for cutting and wear-resistant tools, protective coatings, and furnace and aerospace turbines. Together, we
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; their industrial applications include hard alloys and ceramic-metal composites for cutting and wear-resistant tools, protective coatings, and furnace and aerospace turbines. Together, we will identify and push the
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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Collaborate with CCY researchers on ongoing projects and contribute to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals
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transition. The IE Group conducts research at the intersection between life cycle assessment (LCA), other quantitative industrial ecology approaches (material flow analysis, input output analysis, etc.), and
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microfluidics, kinetic data analysis, Python scripting, protein purification, and cell culture are beneficial The candidate should have an interdisciplinary aptitude, strong organisational and interpersonal
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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not