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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 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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datasets to identify regional spatial patterns and temporal trends in ecological processes and carbonate budgets across South and Southeast Asia. The ideal candidate will have strong research interests in
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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of multiplex cytometry data analysis programs including OMIQ Experience in statistical programming with R and/or Python. Knowledge of R/Python spatial transcriptomics data analysis packages such as Seurat/Giotto
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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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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studies, critical infrastructure studies, heritage research, and spatial analysis. The PhD position is funded for three years, starting 1 March 2027 and ending 28 February 2030, and is embedded within
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You Completion, or near completion, of a PhD in Bioinformatics, Data Science, Computational Biology, Immunology, or a related discipline. Demonstrated expertise in bioinformatics, statistical analysis
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A: $87,266 - $118,416 AUD p.a. plus 17% super Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics. International collaboration