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Field
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and offsite data and manage them in appropriate formats and structures relative to spatial and other quantitative data. Ability to use GIS packages such as ArcMap or QGIS. Production of high-quality
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at the Department of Statistics, Purdue University, under the supervision of Dr. Anindya Bhadra. The postdoctoral fellow will be mentored by Dr. Anindya Bhadra and will have an opportunity to choose from exciting
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. The post-doctoral student will be responsible for implementing the display and visualisation of spatial and urban data, carrying out the study and evaluation of these representations, and contributing
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of spatial biological approaches applied to human tumour models including organ/tumour perfusion, slice
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analysis and statistics (preferably in R); Demonstrated ability to publish in peer-reviewed international journals; Strong organizational skills and the ability to work independently as well as in a team
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoc position will focus on quantitative and spatial analysis of regional population
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(e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The candidate is expected to collaborate
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. Within the FOEN funded «Habitat Map of Switzerland» project
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statistical analysis of results Experience with collecting field data in a spatial context Insight into analyzing data-intensive measurements and sensitive analysis Who we are At the Department of Agroecology