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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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. The chosen candidate is also requested to have a master degree entitling access to a PhD programme in Spain. Please see the section “Admission requirements” in this link: https://www.upf.edu/web/doctorats
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research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr/bibliography/public/ Includes a terminal degree (PhD). Prior experience working with Mouse and
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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of computational biology. have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single-cell transcriptomics, or spatial tissue profiling data, and should be keen
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Researcher (R1) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Stockholm) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 10 days ago
maintaining key ecosystem functions such as productivity and strategies for sustainable management of selected marine ecosystems. Your Profile A PhD in (bio)acoustics, spatial ecology, marine environmental
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python