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also demonstrate knowledge in the spatial analysis of GPS data, with the ability to process and interpret information obtained from tracking devices. The fellow will directly support the experimental and
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preference given to candidates with experience teaching courses in quantitative and spatial analyses, archaeological field and laboratory methods, and managing cultural resources such as archaeological sites
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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faculty members, researchers, research engineers/associates, and doctoral students, working across areas recognised in France and internationally, such as spatial modelling and analysis, health and risk
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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; Tasks may include data collection and cleaning, econometric and structural analysis, conducting literature reviews, and/or documenting data work with reproducible replication packages. Your profile Master
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spatial resolution. The generated meshes are expected to be tested in different FEM solvers and demonstrated in the structural analysis of existing and novel UAVs. To meet the goals proposed, the work
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 8 days ago
science, or a related subject Experienced in acoustic propagation modelling, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping