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Field
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: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling
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, Biology, Bioengineering, or related field. Strong technical background in experimental rig design and construction. Proficiency in Python programming for data analysis and experimental control. Experience
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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serological profiling (PhIP-Seq), from library preparation to data analysis. Build and optimize NGS pipelines for pathogen detection, genome recovery, and molecular profiling. Perform a range of molecular
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and quantitative data analysis techniques. Experience in cleaning and analyzing healthcare data. Ability to work cooperatively with others. Understanding of brain function and the single neuron, neural
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Ph.D. (or equivalent) in Astronomy, Astrophysics, Physics, Planetary Science, or a closely related field by the start date. Demonstrated experience in one or more of: large-scale data analysis, time
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, and application of advanced data analysis tools to chromatographic data. Demonstrated proficiency in pyrolysis-gas chromatography/mass spectroscopy, size exclusion chromatography, and ion chromatography
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automating geospatial workflows. Proficiency with GIS tools (e.g., QGIS, ArcGIS) for spatial analysis and visualization. Experience developing statistical or machine learning models to estimate fuel moisture
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and GIS experience are required, as well as documented experience with data management and statistical analysis using STATA or R. The evaluation will take personal qualities, such as willingness