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also include preparation of food samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, collaboration with
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experience conducting research using: Dedoose qualitative analysis software; and Statistical analysis packages such as Qualtrics SPSS, Stata, etc. Creating visualizations of data Demonstrate: Comfort reading
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), such as a two-dimensional map or a three-dimensional model. Situated visualization has been shown to enhance the understanding and analysis of data. Within the context of DTs, interaction with situated
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Information: Job Requirements: Set-up, maintain and operate lab automation systems used to process samples. Operate, calibrate and maintain equipment used in analysis such as spectrophotometers, analyzers
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their own vehicle and find their own housing for the duration of the position. QUALIFICATIONS Knowledge of computer programming language(s) for data analysis and visualization Knowledge of spreadsheet
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challenges of intelligent biosensor-based monitoring; • Develop software components for real-time data collection, processing, and visualization, contributing to more effective decision support systems
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sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
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. Create new summary variables. Merge, create, and recode variables to prepare data for analyses. Create datasets for analysis by other investigators. Create tables and figures in publication-quality form
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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. Development and validation of software components: Implementation of the backend for data ingestion, storage, and management Development of the frontend for information visualization and interaction with