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knowledge and fosters the development of highly skilled researchers and professionals. Our research focuses on material properties and manufacturing processes for mainly metallic components, specifically cast
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well as their impact on human rights and democracy in Europe. You will be part of a committed and interdisciplinary team with a strong research profile and close collaboration among researchers. Scholars at the Divisoin
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to the development of novel tools for cancer risk assessment with real potential impact on healthcare. Qualifications Requirements A doctoral degree or an equivalent foreign degree in computer science, statistics
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multidisciplinary research and education environment that advances the state-of-the-art knowledge and fosters the development of highly skilled researchers and professionals. Our research focuses on material
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, FACS and immunohistochemistry. You will also publish scientific articles in high-impact journals in the field, attend international conferences and develop and assist in other work duties related with
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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these actors’ tactics, political agendas, and social visions, as well as their impact on human rights and democracy in Europe. You will be part of a committed and interdisciplinary team with a strong research
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aim to develop methods for local transformation of the built environment and organisational development. The outcome is expected to be academic publications in high-impact journals and implemented
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: Metallurgy, Process physics modelling, and Process development and control. Our main aim is to fundamentally study and improve our understanding of welding and welding-based additive manufacturing processes
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timescales. Within this project we will develop new reconstructions of variations in Earth’s magnetic field and the fluid flow at the top of the core over the past few millennia based on palaeomagnetic data