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data and interpreting the results using nuclear-reaction codes such as TALYS. By comparing the experimental findings with model calculations, you will assess the ability of current models to describe
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nutrient balances, scenario modelling, and life cycle-based, techno-economic and socio-economic methods. Data will be drawn from research, statistics, literature and national databases. The doctoral student
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with nuclear fuel modelling, machine learning
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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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/research/air-water-and-landscape-science ). Duties The PhD project will focus on uncertainty quantification in modelling flow and solute transport in fractured rocks. The work will include numerical
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scientific literature to make an updated overview of the current evidence base and knowledge gaps regarding agricultural crop biomass resources for bioenergy and internal nutrient cycling via biogas digestates
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to annotated cell types Experience of working with non-model organisms, where reference resources are incomplete and annotation cannot be taken for granted Strong programming skills (e.g. R and/or Python) and
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Large dependencies of reliable power production from offshore renewable energy systems (RES) is expected in the next decades, in particular onshore and offshore wind and solar PV. Large changes are also
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. To understand how this planet works, our researchers seek answers in the field, through laboratory experiments and advanced models. Our research and education cover a wide range of disciplines, including rocks
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of Gothenburg. The current employment is based at Natrium, with the possibility to conduct research projects at the marine station. General information about being a doctoral student at the University