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knowledge of computational social sciences • Excellent knowledge of the following statistical software programs: R and Python • Experience in science communication and knowledge transfer (preferably
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analysis approaches) with human participants, and preferably also in psychoneuroendocrinological and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a
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related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of
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deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch
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; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of an interdisciplinary research team. The following qualifications
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audiences and collaborate across disciplines; proficiency in spoken and written English. Experience with plant pathogens, microbiome sequencing, image-based phenotyping, R/Python, statistics or machine
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proposals, research presentations, and professional conferences. Within the UNL system, this position is categorized an a M/P Temp Worker. About Us At the University of Nebraska–Lincoln, we’re proud to be
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related field. Familiarity with scripting languages such as Python or systems engineering is a plus. Self-motivated, strong organizational skills and attention to detail with strong verbal and written
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vapor pressure environments. Innovative Food Science & Emerging Technologies, 7(3), 182-194 [6] Norwood, E. A., Pezennec, S., Burgain, J., Briard-Bion, V., Schuck, P., Croguennec, T., Jeantet, R., & Le
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Publications and Digital Scientific Research Data) and ARS P&P 630 (Data Management & Public Access Requirements). Collaboration & Reporting Under general supervision by the Professor and Center Director of