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Field
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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loggers to collect environmental data and use of imaging system/tools Analyze plant nutritional quality using spectrophotometers and HPLC Statistical analysis and preparation of manuscripts for publications
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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interpret figures, and presentations (oral/poster). Contribute to manuscript preparation, grant proposals, and dissemination of research findings at national and international conferences. Data Analysis
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quantitative and data analysis skills, numerical modelling, and programming Ability and willingness to undertake collaborative research The ability to work creatively and independently. Act in accordance with
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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function. Knowledge and/or experience in high dimensional and conventional flow cytometry. Mouse handling and tissue processing. Generation and analysis of bulk and/or single cell transcriptomic data