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Field
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-based modeling methods, or continuum mechanics, especially blood flow and transport modeling. Knowledge of AI and OpenGL-based visualization techniques and/or image analysis methods is an advantage
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subjects using observational cohorts and through clinical trial data from medical collaborations. An ideal candidate will be able to independently lead the genomic and metagenomic analyses for their own
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office (including
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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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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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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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, 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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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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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