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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we
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their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps. The project emphasizes spectroscopic galaxy surveys—in particular
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for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data
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programming and scripting (e.g. R, Python, Bash) for data processing, integration and visualisation Proven experience developing and using necessary pipelines for analysis of large-scale bulk and single cell
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Modelling (MLM), and latent profile analysis. Experience in managing projects, implementing large-scale surveys, and analysing large datasets are relevant strengths. The appointee should also have a high
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to evaluate disequilibrium in trait–environment relationships across time and space. Analyze trait, fossil, and environmental datasets to assess climate tracking and climate fidelity. Collaborate with a large
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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: Strong programming skills, a valid driving license, and experience with large-scale 3D MT data acquisition, processing and inversion are essential. Experience in driving snowmobile and strong publication
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of PhD degree certificate • Contact information for two referees Application deadline: November 27, 2025 The University works actively to achieve a working environment with equal conditions, and values
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ExperienceNone Additional Information Eligibility criteria **Technical and Scientific Skills** PhD in analytical chemistry, biogeochemistry, environmental sciences, or a related discipline. Strong experience in