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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain
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the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration of golexanolone treatment to rats
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maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets. Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
plan comprises: Research and review of the relevant scientific and technical literature for the project; Survey and analysis of shading solutions, with particular emphasis on prefabricated systems
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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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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partnerships in the CTI and beyond. You will also contribute to the education and mentorship of students and researchers at various levels. Where to apply Website https://www.academictransfer.com/en/jobs/358773
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of interactive web-based and/or immersive analytics environments that integrate temporal networks, heterogeneous spatial-temporal data, and AI-driven forecasting and simulation models. These environments will