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Field
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collection, spatial statistics, and spatial modeling, and an ability to leverage quantitative analysis to co-produce environmental solutions with local community organizations, stakeholders, and rights-holders
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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in
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assays, pooled genetic and antigen-discovery screens, flow cytometry, cell sorting, next-generation sequencing library preparation, single-cell sequencing, and spatial genomic assays. The position will
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stock changes towards higher Tier levels according to the IPCC guidelines and contribute to the further development of spatially explicit approaches, models and monitoring tools for land-use categories
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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq, RNA seq, single cell sequencing, spatial transcriptomics
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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and develop training materials related to energy–water resilience and futures analysis Other duties as assigned Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/soil-water-systems
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candidate) PhD program in business economics (at most one candidate) of the Faculty of Economics and Business of KU Leuven (for more information, see https://feb.kuleuven.be/research/PhD/PhD ). As a PhD
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-2026-410 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is focused on advancing non-destructive sensing approaches to improve postharvest
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in