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-cultural experimental and ethnographic data, including data pooling, version control, and statistical modelling of individual-level quantitative data Drafting reports for publication Theory development and
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the behaviour of fishes, particularly in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Experience
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statistical tools Preferable experience with advisory work Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct
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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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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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, and judgment and decision making Excellent research skills, including advanced statistical and methodological knowledge (experience with programming of experiments, statistical methods such as
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Physics and Turbulence group at the Department of Mechanical and Production Engineering. The research groups are specialized in machine/deep learning, statistical machine learning, data-driven analytics
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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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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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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