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parameters. The model is used for condition monitoring and fault detection using methods focusing on statistical methods using residual generation and Kalman filtering. Qualifications: Phd and master's degree
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, and managers) Experience in data analysis and statistical tools Preferable experience with advisory work Who we are The Department of Ecoscience is engaged in research programs and advisory work
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, stakeholders, and managers) Experience in data analysis and statistical tools Preferable experience with advisory work Who we are The Department of Ecoscience is engaged in research programs and advisory work
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genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data related to insect breeding and experience in developing insect breeding strategy. Experience
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methane emission traits in dairy cattle. The candidate must have Ph.D. degree in quantitative genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data
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of survey research, from planning and ethics approval, through pilot work and data collection, to statistical data analysis and write-up. Qualitative research skills and experience are an advantage but not
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science, statistical analysis, and mathematics. Experience with programming languages such as MATLAB and Python. Excellent analytical, problem-solving, and modeling skills. Strong written and verbal
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disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions