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in real machines used in mining, forestry, construction, or the space industry. The doctoral candidate position is fully funded by the Marie Skłodowska-Curie Doctoral Network ENGAGE, which stands
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in real machines used in mining, forestry, construction, or the space industry. The doctoral candidate position is fully funded by the Marie Skłodowska-Curie Doctoral Network ENGAGE, which stands
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an interdisciplinary research project called “c/o Glass - making flat glass circular in the built environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed
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, and a structured approach to problem-solving. Additional qualifications Coursework or other experiences with the following subjects are valued: scientific computing, optimization, statistical machine
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field Documented research experience in pancreatic cancer Documented proficiency in spoken and written English Experience in structured research documentation Strong ability to work collaboratively
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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experience of programming (e.g., Python, C#, C++). Ability in teamwork and to work both independently and in groups. English language proficiency. Personal characteristics such as structured approach
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structures, designing appropriate benchmarks for the target domain, and determining which fusion architectures best balance performance, interpretability, and computational efficiency. The student will
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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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creativity, thoroughness, and a structured approach to problem-solving. Additional qualifications Experience and courses in one or more subjects are valued: estimation theory, statistical machine learning