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10th June 2025 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Analysis of Security, Safety, and Liveness
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transformations, with particular emphasis on (a) activation of O2 and related reactive oxygen species and (b) novel reducing catalysts that proceed via metal-hydride intermediates. The overarching aim is to deliver
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-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open
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practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration with other researchers, perform data analyses, write scientific articles, supervise
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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equivalent in ecology or a related field Familiarity with concepts in species distribution, macroecology, climate change ecology, or biogeography Experience with statistical analysis and ecological data
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-mechanical coupling. Understanding of wellbore and casing behavior under thermal load. Desired skills: Finite Element Analysis software: Abaqus, COMSOL Multiphysics, or ANSYS Python (for data analysis
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on regional-scale modeling and simulation of subsurface flow and geomechanics, including associated numerical and computational methods. Topics may include upscaling, numerical analysis, and the design and