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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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ingredients Experience with producing feed on (lab. scale) extruder Experience, accuracy and patience for laboratory work Analytical skills and experience in statistical analysis Strong written and oral
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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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interactions and experience with surface plasmon resonance (SPR) technology is considered an asset. You are efficient and solution oriented A proficiency in statistical analysis A proven track record of
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data sciences tasks like exploratory and statistical data analysis, training AI/ML models, or creating visualizations or dashboards using common industry frameworks and libraries. Programming in C, C
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in journals/conferences. You must have a PhD degree in transport, mathematics, statistics, computer science, or a related discipline. We are looking for an ambitious, self-organized individual with
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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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research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new
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to: Validate DAFM-based methods for skin type determination. Analyse skin samples at a cellular level. Develop and optimize a database for an AI model for skin diagnosis Construct a database for statistics
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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