23 distributed-computing-"LIST"-"U"-"Washington-University-in-St" positions in Denmark
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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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, distributed algorithms, secure multiparty computation, and information theory. You are expected to speak and write in English at an academic level, and preferable also in Danish. Qualification requirements
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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to be carried out as part of the research project. The PhD student´s role in the research agenda listed above will depend on the chosen candidate and his / her own PhD project description related
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quantitative analysis and modelling that integrates and handles various interdependent data such as technology characteristics, cost distributions and components, material choices, sizing of components and
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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research funding" at the PhD Programme in Management. The position is available from 1 September 2025 (or as soon as possible thereafter). The research project The PhD position will focus on the assessment
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projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
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experience in all these areas is not required, candidates should demonstrate their capacity to undertake quantitative and computational research to address questions about epidemiological dynamics. A knowledge