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and Python); Ability to work productively both independently and as part of an interdisciplinary team. An interest and willingness for learning new methods and technologies in a fast moving and highly
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Small case Studies of Successful Innovation Funding Methods The project will employ a combination of mainly quantitative methods, including machine learning (ML) and generative AI (GenAI) models
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Natural Language Processing, Machine Learning, or a similar area. Expertise in large language model architectures and training paradigms (transformer models, fine-tuning strategies, RLHF, etc.). Interest in
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intelligence and machine learning for data analysis, scenario design, optimisation, etc.). Candidates are expected to teach and supervise students in our study programmes, particularly the MSc in Engineering
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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and recycling/decommissioning. Complex manufacturing systems and layouts, including machining, assembly, modularization, automation, stocking, and digitalization. Manufacturing and global supply chains
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approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and
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to learn and will get the opportunity to develop new skills. We are seeking a highly motivated postdoctoral researcher who will help develop new methods to probe aerosols phase behavior and who actively