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Field
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techniques, high-throughput profiling, flow cytometry, molecular biology, and computational analysis on patient-derived samples and cell line models of hematologic malignancy. Specific duties include
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evolution and rarely align with climate model outputs. These models also exhibit biases due to the omission of certain physical processes, and their spatial resolution is often too coarse to be functional
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28 Jul 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 27 Aug 2026 - 23:59
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will be hold, or be near to completion, of a relevant PhD degree and have experience in molecular/cellular biology relevant to the programme of work. They must be strongly motivated with a highly
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land loss and vegetation change at high spatial resolution Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives
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. This line of research is explicitly focused on the identification of large-scale macroecological patterns using established and innovative statistical modelling approaches. Beyond this research focus
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connected field. Conduct innovative research in advanced cellular and molecular disease modelling (e.g., organoid systems, microphysiological platforms, spatial-omics and others). Have a minimum of three
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
aging and metabolic health Perform studies in murine models, including collection, processing, sectioning of brain tissue and anatomical analysis of hypothalamic regions Apply molecular, histological, and
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. The aim of the project is to identify the mechanisms underlying spatial summation of pain and to develop models explaining how nociceptive stimuli are integrated by the nervous system. The project involves
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Biology: Development of deep learning, graph neural network, generative AI, and RNA foundation models to analyze large-scale omics, spatial transcriptomics, ribonomics, and imaging datasets. Application