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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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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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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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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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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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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