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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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a global leader in research. The School of Infection and Immunity https://www.gla.ac.uk/schools/infectionimmunity/ is driving innovation in immunology, parasitology and infectious disease, a combined
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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, histology, chemogenetics, viral circuit tracing, single‑cell transcriptomics, and spatial transcriptomics. The Research Specialist will work closely with lab members to: Set up and conduct experiments
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, histology, chemogenetics, viral circuit tracing, single‑cell transcriptomics, and spatial transcriptomics. The Research Specialist will work closely with lab members to: Set up and conduct experiments
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). The institute also maintains locations in Dedelow and Paulinenaue. Within the DFG-funded project “MEGAFORP – Me chanisms of g ene flow a mong spatially isolated for est herb p opulations in European agricultural
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models