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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC
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students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will be working under the ERC-funded project entitled
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for an engaged postdoctoral researcher, who is an expert in qualitative methods and that has an interest in cooperatives. The work will involve: Conducting qualitative comparative analysis (QCA) to examine factors
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). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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for observation-projection in climate modelling ideally bring complementary expertise and/or networks that the group may be presently missing The candidate must have excellent skills in written and spoken English
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/or networks that the group may be presently missing The candidate must have excellent skills in written and spoken English, Python-language and scripting as well as Linux and HPC environments. Previous
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current micro-test systems of fibres and fibre-matrix systems. This requires laboratory work with materials testing electronics and codes. Alongside, high-fidelity numerical analysis is needed to understand