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. Demonstrated proficiency in GIS, remote sensing, spatial analysis, or other applied geographic techniques. Preferred: PhD degree in Geography, Geosciences, Computer Science, Environmental Science, or a closely
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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changes to hydrometeorological forcing. Geomorphology, 414, 108383, https://doi.org/10.1016/j.geomorph.2022.108383 Eelsalu, M., Viigand, K., Soomere, T., Parnell, K., 2024a. Systematic analysis
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, and collaborate with other faculty as a co-investigator on new grant initiatives. Example areas of possible methodologic applications include, but are not limited to, causal analysis, bias analysis
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This postdoctoral position offers a unique opportunity to work with research on two ongoing spatial transformation projects in Sweden. The projects situated in two different geographical contexts
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Position on wellbeing and input-output analysis The Institute of Environmental Sciences (CML) is looking for a PhD candidate to work on a systems perspective on wellbeing to move beyond GDP using input
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Requirements You are an independent, highly motivated researcher with solid interdisciplinary experience in agronomy and plant genetics, and a growing foundation in spatial data analysis. You also possess: A PhD
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position within a Research Infrastructure? No Offer Description The Department of Earth Sciences is looking for a highly motivated Postdoctoral candidate with a PhD background in Earth Sciences or another
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require more than visually plausible models: they require analysis‑ready geometry for simulation and decision support. This PhD project develops methods to generate LOD3 urban surface meshes from