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application of cumulative impact assessment model using food webs, which is intended to assess impact of multi-stressors on trophic and non-trophic interactions networks. The modelling will be primarily based
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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Experience with pathways and complex networks in cell biology Finally, applicants should: Be curious and ambitious Take pride in being a good colleague and scientist Who we are The laboratory is located
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together a large network of European stakeholders across universities, industry, training providers, and policy organisations, with the goal of strengthening Europe’s quantum talent pipeline and accelerating
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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. Experience in building research networks, and communication across disciplines and professions are considered important, due to the research collaborative- and cross-disciplinary focus. Considering the wider
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families. Specifically, we offer: Access to state-of-the-art facilities and computing infrastructure; Strong support for research career development, including mentoring and international networking
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of research. a work environment with close working relationships, networking and social activities. a workplace characterised by professionalism, equality and a healthy work-life balance. a location in the
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lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by
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combination with tumor characterization, revealing tumor networks in prostate cancer progression. Key findings will be validated on human samples, and their functions will be assessed in vivo through CRISPR