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). Execute bioinformatic and statistical analyses on high-throughput single-cell and spatial transcriptomic datasets. Prepare high-quality manuscripts, assist with grant reporting, and present findings
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-learning-and-statistics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-p… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 2 days ago
/2022. The successful candidate will support research activities related to GIS, spatial statistics, accessibility modelling, territorial typologies and dashboard development within an international
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. Demonstrated experience in analysing mobility, exposure, environmental or other spatially and temporally referenced data. Strong quantitative and statistical analytical skills. A strong publication record
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah University of Science and Technology
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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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
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 16 days ago
cancer. The Core Facility Bioinformatics and Statistics (CF-BIOS) at Helmholtz Munich is part of the SPACETIME project, an EU consortium studying how spatial cellular organization changes with disease
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biology, simulation, data visualisation, bulk / single-cell / spatial RNA-sequencing analysis. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk
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formats – see the course webpage to find out about the format. Information on this PCE Specialization may be found at https://www.pce.uw.edu/specializations/gis-spatial-analysis-with-python-r. UWC2