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Field
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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-offs and synergies of land use decisions desirable Good knowledge of statistics and relevant software products (R, SPSS, jamovi or similar) Good knowledge of analysing spatial data (geoinformation
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the project entitled “Spatial determinants of immunotherapy resistance in cancer”, funded by the NCN (National Science Centre) in cooperation with the SNSF (Swiss National Science Foundation). Our laboratory
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collection, spatial statistics, and spatial modeling, and an ability to leverage quantitative analysis to co-produce environmental solutions with local community organizations, stakeholders, and rights-holders
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-cell RNA-seq, multiOme-seq (RNA+ATAC) and spatial transcriptomics (Visium HD, Xenium) and spatial epigenomics. We utilize a wide range of cell-based models, organoid systems and patient material together
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generation of tools and technologies to advance precision diagnostics and therapeutics. Essential Skills Applicant can have their PhD at the time of the application or could be working towards the PhD or MD
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are keen to hear from candidates who have: a PhD (completed or near completion) in statistics, applied mathematics, geospatial/ environmental data science or computer science. demonstrable programming skills
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within the Division of the Social Sciences at the University of Chicago, is an interdisciplinary academic unit dedicated to advancing research, teaching, and public engagement on the societal, spatial, and
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presentation skills in English equivalent level Good oral and written presentation skills in Norwegian/Scandinavian equivalent level [B2] Experience with statistical modelling of spatial ecological patterns
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skills, that advocate for safety and ethics in the workplace. For more detailed information on research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr