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- Petrographic, mineral chemical (SEM, EPMA, LA-ICP-MS) and isotopic analyses (S, O, C, Cl, Sr) - Integration of mineralogical, geochemical and stratigraphic data into a coherent genetic and exploration model
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validated predictive models of pavement deterioration. The position is research-focused, with opportunities to strengthen independence and build qualifications for future academic or industry careers
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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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. This includes but is not limited to, comprehension and modeling of the components of the hydrological cycle as well as geospatial modeling of water quality and quantity in both urban and rural setting
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of large-scale machine learning models (e.g., LLMs) in a meaningful way, we, therefore, need new scalable methodologies that can efficiently and accurately capture, represent, and reason about uncertainties
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, kinetic modelling, and computation fluid mechanics simulations. The new employee will have main task on the experimental part but also being involved in other parts as well. Work duties The main duties
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and combine these protein fractions to maximise their functionality in complex model food product based on emulsions, gels and foams. Detailed description of work duties: You will be responsible
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Statistics is offering a postdoctoral scholarship within the project “Phase transition in aggregation processes and network models”. The scholarship is full time for two years with starting date 1 January
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results. The project has a particular focus on bioinformatic analyses of data from experimental models and patient data, but tasks may be broadened depending on the project's needs. The postdoc is expected
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application! Work assignments Your work duties will include research in the area of theoretical modelling of disordered magnetic materials. This involves method development, large-scale computations, and