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Field
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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
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theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You
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theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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Computer Science) and the BRGM Data and environmental teams, to achieve the goals of the JUNON project before September 2026. The successful candidate has proven experience in Python development, data integration
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between different neuronal cell types are organized and how this organization enables the computations they perform. Within this role there is a lot of flexibility around the projects, depending on your
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, Python, or Mplus. Global collaboration: Coordinating expert meetings and maintaining partnerships with international collaborators, governments, and academic institutions. Research leadership: Developing
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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, polygenic scores). Proficiency in statistical methods. Basic programming skills (e.g., UNIX/Linux, Python, R). Experience leading/managing a research project. Excellent scientific writing skills. Language
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, preferably in brain slices * Experience in data analysis in Python or MATLAB* Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals * Evidence of data