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: 279354599 Position: Postdoctoral Research Associate Description: The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/ ) at the Andlinger Center for Energy and
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MRC DiMeN Doctoral Training Partnership: Deconvoluting the spatial multi-omic landscape of high-grade glioma to target post-surgical residual disease MRC DiMeN Doctoral Training Partnership PhD
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(flow cytometry, isolation and analysis of cells from peripheral blood and barrier organs) 4. practical knowledge of bioinformatic techniques (analysis of omic data, such as scRNAseq, spatial scRNAseq) 5
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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maps using spatial proteomic profiling, including the use of laser capture microdissection to isolate defined tumour regions prior to mass spectrometry analysis. Where feasible, you will also explore
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computing environments and cloud-based analysis platforms. Contribute to scientific publications, presentations, and grant proposals. Qualifications Successful candidate should have: MSc or PhD in
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the analysis of a unique clinical material from more than 250 cancer patients who have been followed with regular sampling for up to eight years. Subject area Oncology Subject area description Modern
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to apply Website https://www.academictransfer.com/en/jobs/355829/postdoc-reverting-soil-sealing-… Requirements Specific Requirements You have a PhD in Geography, Spatial planning, Urban studies or a related
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and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex imaging, spatial data analysis, and
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experiments that require a focused coherent beam to achieve ultimate resolution, such as ptychography and coherent diffraction imaging. Secondly, the nanofocused beam also provides prime spatial resolution