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: planning and execution of pilot scale HTL campaigns carrying out wet-oxidation experiments in pilot scale supporting full scale HTL experimental campaigns with sampling, data analysis, process evaluation and
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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-based products. The candidate will be involved in data collection, quantitative data analysis, interpretation of findings, preparation of deliverables, writing of academic articles and ongoing development
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, or higher education) Experience with developing immersive technologies (e.g., XR/VR/AR) and/or doing multimodal data analysis (e.g., eye-tracking, gesture tracking, interaction analysis). You can Write
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smooth as possible (http://www.au.dk/en/internationalcentre/ias /), and the department will assist foreign candidates with finding a suitable place to live. Contact information Further information may be
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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. You can read more about the Department of Management at: https://mgmt.au.dk/ Further information The Department of Management offers a stimulating international environment. The department conducts
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team
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translating consumer insights into new food products, concepts or experiences; • experience with univariate and multivariate statistical analysis of sensory and consumer data, including the ability
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage