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Field
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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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. 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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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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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 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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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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manipulation, single-cell and spatial genomics, epigenomics, in vivo calcium imaging, whole-organ and whole-brain imaging, molecular pharmacology, and behavioral neuroscience to investigate neural plasticity
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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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biological invasions. This line of research is explicitly focused on the identification of large-scale macroecological patterns using established and innovative statistical modelling approaches. Beyond
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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