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Field
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samples for analysis, collect and record data Setting up and connecting irrigation systems Use of hand tools May include driving university vehicles to research fields Traveling to off station sites to do
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-on training in quantitative policy research in economics. You will gain experience in: Working with large-scale and high-dimensional datasets Data construction, including web scraping Spatial analysis (e.g
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empirical research (e.g., Python, R, Stata, Julia, or MATLAB) is required. Familiarity with SQL, cloud computing, or text analysis is helpful but not required. If you believe that this opportunity is a match
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across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and
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sound understanding of data evaluation Prior experience with single-cell data analysis, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently
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multidisciplinary research team. Key Responsibilities Include: Supporting and undertaking qualitative and quantitative research activities, including ethics applications, data collection and analysis Drafting
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phytochemicals, including extract preparation, chromatography, and bioassay-guided fractionation in collaboration with chemists. Data analysis and interpretation, including statistical evaluation of dose–response
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. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and statistical multivariate methods to extract spatio-temporal spike patterns. Finally both results will be linked and
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-products and digital innovation in the cheese sector. Tasks include the characterization of different types of whey, critical analysis and definition of recommendations for sustainable reuse on farms, as
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and writing novel protocols, and safety procedures. Will also include managing and overseeing daily operations and finances of the youth mental health lab. This position will also lead group analysis