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Field
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 17 days ago
Scientist (f/m/x) in Spatial Multi-Omics Analysis 103012 Full time, close to full time 27,3 - 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking
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tissue function and repair. Our research seeks to uncover the cellular mechanisms that enable tissues to thrive, particularly under physiological and environmental challenge (see group website https
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cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell populations
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remaining biologically interpretable? The PhD candidate will design and apply integrative computational workflows using methods such as multi-omics integration, spatial modelling, representation learning
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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and the African turquoise killifish to model human cardiovascular diseases, polycystic kidney disease (PKD), and cardiac aging. Our research aims to uncover the molecular and cellular mechanisms
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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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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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Expertise in one or more of spatial/landscape/community ecology, trait-based/functional ecology, macroecology, or ecological modelling Strong conceptual thinking in ecology Experience with predictive