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Apply now Job no:501140 Work type:Full time Location:Hobart Categories:Research Focused Lead wildlife-tech research to protect forests using drones, AI, and spatial ecology A dynamic role open to
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malacology, water resources and schistosomiasis control and/or schistosomiasis modelling and spatial mapping approaches. Your role will be to critically evaluate the climatic and environmental determinants
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multi-omics data integration (e.g.: ATACseq, RNAseq, single cell RNAseq and spatial-omics platforms like CODEX/mIF or 10x Visium). The fellow will work with several research collaborators in the EECS
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the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is recruiting a post-doctoral researcher to develop computational models to study the spatial
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify
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or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Core job duties include: (1) Designing, implementing, and
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify
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impactful observation-based analyses informing forecasting ocean and climate models. Meeting these challenges, within the European HORIZON EUROPE projects GEORGE (https://george-project.eu/ ) and TRICUSO