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recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and
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statistical methods; Code implementation and validation for these models in a modelling setting for alternative design and policy analysis. Collaborate with researchers from machine learning and transportation
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employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard
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techniques, and citizen science is considered an advantage. Is proficient in data analysis and statistical methods in R. Has excellent communication skills and is proficiency in English and preferably one
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desire to learn Good programming skills (MATLAB and/or Python) Ability to work effectively with data and applied statistics Knowledge of electric power systems and electric vehicle integration Ability
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collection. Simulate a multi-scale, multi-sector framework with features generated during the fundamental scientific experiments. Utilizing advanced statistical and computational methods to analyze and
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on their own ideas. Prior experience in working with fish in an experimental context is considered an asset, and proven skills in statistical analysis are expected (preferably in R). You must have a two-year
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of lesions Coordinate and validate models with clinical partners and Melatech Conduct rigid statistical testing of your models in a clinical environment Write scientific papers and present research results
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patience for data collection and management. Analytical skills and some experience in statistical analysis. Strong written and oral communication skills in English. Ability to work in a team and to assist
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.) Experience using statistical techniques to analyse data, build predictive models, and evaluate their performance Domain knowledge about omics (e.g., genomics, transcriptomics, proteomics, metabolomics