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learning; eager to gain further expertise in bioinformatics and the analysis of large 'omics data sets, including metagenomics and transcriptomics and advanced AI methodologies; interested in phenotyping
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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
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between the Netherlands and Turkey. 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 retirement
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range of different data analysis and modelling strategies to decipher the mechanisms underlying biological processes. Research subjects range from plant development and adaptation, to the functioning
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carrying out data collection and quantitative analysis of the data (including designing test instruments and participant recruitment); completion and defence of an article-based PhD dissertation within four
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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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part of a collaborative research team with partners from the Norwegian Polar Institute and Alfred Wegener Institute. This position offers opportunities to develop skills in satellite data analysis
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equipment like 3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental physical
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interest in rock mechanical experiments, or high-pressure and/or high-temperature laboratory experiments; strong quantitative and data analysis skills; the ability to work independently and as part of a team
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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific