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Responsibilities Quantitative method development and computational modeling (45%) -Develop, implement, evaluate, and advance computational approaches for estimating spatially and temporally resolved air-pollutant
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 17 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 11 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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using various model systems (BIO ). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/308656/phd-fellowship Where to apply Website https://www.jobbnorge.no/en/available
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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, spatial seismicity modelling, logic trees, and the treatment of epistemic uncertainty in PSHA Proficiency in Python or a comparable scientific programming language, together with experience in geospatial
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spatial analyses, photogrammetry and 3D modelling of archaeological data. Archaeological GIS & Spatial Analysis (Geographic Information Systems applied to archaeology) Photogrammetry (3D reconstruction from
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase