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Siri Pedersen 18th October 2026 Languages English Norsk Bokmål English English PhD Fellowship in Public safety, Underground applications and Spatial analysis Apply for this job See advertisement
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, spatially resolved optical mapping, or multidimensional imaging and spectral analysis, is preferred. • Strong experimental, quantitative data-analysis, and problem-solving skills, with the ability
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 days ago
, Regional and Local Planning, or related fields; Experience working with Geographic Information Systems (GIS); Knowledge of databases and data systems; Experience in quantitative and spatial analysis methods
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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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, topography and land-use history have rarely been assessed across spatial and temporal scales. The PhD project will combine historical aerial photographs, satellite remote sensing, ecological field observations
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: PhD or M.D. in bioinformatics, computational biology, genomics, computer science, biostatistics, biomedical sciences, or a related field. Strong experience in bioinformatics and analysis of high
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of the discipline or similar Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Analysis of multiparameter CyTOF and flow cytometry data Analysis of spatial
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. This 4-5-year project is supported by an NIH R56, the HNC SPORE, and other research funding. The postdoc will investigate the spatial and functional relationships between intratumoral bacteria and immune
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and proteomic profiling. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within neurobiology/ tumor biology, or equivalent in a relevant field of
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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