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are seeking a highly motivated Bioinformaticist with knowledge in computational image analysis and proficiency in Python. In this position, you will be supervised by our image analysis expert and will work
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system. You will combine a mechanistic model and bioinformatic analysis of public datasets to derive a score for quantifying cancer immunogenicity. You can find out more about the research here: https
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identification, molecular validation, and the development of new diagnostic tools. Working with cell cultures and organoids. Participation in molecular and spatial data analysis in collaboration with analysts
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(flow cytometry, isolation and analysis of cells from peripheral blood and barrier organs) 4. practical knowledge of bioinformatic techniques (analysis of omic data, such as scRNAseq, spatial scRNAseq) 5
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strongly preferred Strong interest in wellbeing and beyond GDP Knowledge of statistical and spatial analysis methods and tools, or willingness to learn Proficiency in English, both spoken and written We
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spatial and non-spatial data efficiently. Develop and implement ETL processes to prepare data for publication, analysis, and visualisation, including metadata and data packaging. Collaborate in an agile
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; Proficiency in ROS/ROS2 (Robot Operating System) and middleware for data integration; Knowledge of temporal and spatial synchronization of sensors and extrinsic/intrinsic calibration. Computer Vision and 3D
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https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf . A reasonable full-time estimate for this position is $76,700 - $97,700 Percent time: 100
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.` Available course options include Climate Change, Mapping Environmental Issues, Environmental Spatial Analysis, Environmental Geographic Systems, Natural Science and Environmental Problems, Environmental
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, and collaborate with other faculty as a co-investigator on new grant initiatives. Example areas of possible methodologic applications include, but are not limited to, causal analysis, bias analysis