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Field
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? As a PhD candidate, you will develop an integrated modelling framework to analyze the Water-Energy-Food (WEF) nexus in Controlled Environment Agriculture (CEA), including greenhouse and vertical
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our new colleague? We are looking for a PhD candidate to build a macroeconomic model that links long‑term strategies for flood risk management to the behaviour of the financial sector and the broader
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network discovery and individualized circuit targeting, multimodal concurrent brain stimulation-recording, and computational modeling. We bridge invasive approaches, including intracranial electrical
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Oct 2026 - 23:59 (Europe/Brussels) Country Spain Type of Contract Temporary Job Status Full
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
lineage-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens
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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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conditions. The successful candidate will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that lead
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developing innovative probabilistic methods to tackle fundamental problems at the intersection of spectral geometry, mathematical physics, and number theory. By exploring the geometry and spatial features
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multidisciplinary research projects. • Analyze, integrate, and interpret genomic, transcriptomic, proteomic, lipidomic, spatial multi-omics, imaging, and other high-dimensional biological datasets. • Identify