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strong social and communication science orientation, the focus is on the dynamics and development of organizational forms, types, content, effects and consequences of processes of mediatized social
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immune cells in Alzheimer’s disease. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution of adaptive immune
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. This study investigated a range of research questions using RNC breast cancer data and explored potential secondary data linkages. The RELIANCE study was initiated under the umbrella of the “Plan National
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environmental sciences, public health, and socio-economic research to develop innovative strategies for mitigating health risks associated with global change. A demonstrated ability to engage with stakeholders in
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for the European Higher Education Area ) in pharmacy, chemistry or a similar subject and a minimum of 4 years’ professional experience in a similar role (e.g. developing and/or maintaining stakeholder engagement
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provides methodological support in statistical planning as well as analysis & data handling for various laboratories and research groups. The methodology group explores or develops new methodologies to help
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
Work environment, missions and activities Nature and purpose of the research project to be developed and related activities. Industries are having to reduce emissions resulting in the need to revamp
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reproducible scale-up protocols and develop standard operating procedures. Support multiple projects within the group requiring scale-up and contribute to cross-functional teams. Interface with external partners
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impact A demonstrated commitment to mentoring and fostering the next generation of researchers Willingness to contribute to teaching programmes at the undergraduate and graduate levels in areas related
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic