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interesting opportunity is available for a fully funded PhD position in mathematical physics, focusing on the interplay between microlocal analysis and quantum field theory in curved spacetimes. The project
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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, European and international markets of high-quality steel products and scrap producers for the relevant value chains. Dynamic Material Flow Analysis (MFA) modeling for steel demand that allows a mix of steel
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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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research passion for chemical laboratory work and data analysis an open, communicative and collaborative attitude willingness and ability to join sea-going expeditions should occasions arise and to spend
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network analysis); You will write international peer-reviewed scientific papers; You will work in a collaborative environment that seeks to improve one another’s research; You will present your work
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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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will also compile field methane measurement data from published literature and datasets for analysis and model validation. On this basis, we will quantify the spatiotemporal changes in global inland
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trajectories between the United Kingdom and India. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the