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Field
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. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields • Strong background in microbiology and quantitative analysis SKILLS • Microbial cultivation and bioreactor operation • Ability
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A
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protocols. In close collaboration with the lab of George Coukos (https://agora-cancer.ch/laboratory/coukos-lab/ ), we will derive protocols enabling rapid expansion of cancer-specific, autologous TILs
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democracies justify departures from market principles. Component 2 — Systematic Evidence Review on Market Competition: systematic literature review and meta-analysis of evidence on competitive dynamics in
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availability of iron and manganese affects net primary productivity and biomass of Southern Ocean ecosystems. About the role Based at the University of Plymouth, you will become a member of a multidisciplinary
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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of people living with multiple sclerosis. The project is highly interdisciplinary and lies at the interface of neuroscience, computational science, human motion analysis and human-cantered artificial
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establish a sustainable line of cooperation between UHK and leading European groups and networks in cosmology and gravitational-wave physics. Depending on mutual scientific interests and appropriate
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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high
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of fMRI data in task-based and resting- state tasks, including preprocessing, GLM modeling and BOLD contrast analysis, as well as functional and brain network analysis, • Experience in structural MRI data