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, PAID parental leave, adoption benefits, generous PAID time off, and access to professional development programs. More detailed plan information can be found at: https://www.ohio.edu/hr/benefits Create a
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Position Details Position Information Job Title CASS Student Developer - Data Analytics Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12
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research funding, and experience of supervising doctoral students to completion. You will also contribute to curriculum development, external engagement, and the wider academic leadership of the School
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity involves the development of motion planning
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity is part of the project “Development of innovative and
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Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i)) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID’s
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Previous Job Job Title Course Developer – Advanced Web Application Development and Secure Systems Next Job Apply for Job Job ID 372767 Location Twin Cities Job Family Education-General Full/Part
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description To develop the methodology for collecting data from a motion
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Montpellier, Languedoc Roussillon | France | 1 day ago
. The Adaptation, Adaptability of Animals and Farming Systems laboratory (L-3AS), which is one of the components of this unit, develops multidisciplinary approaches combining genetics, physiology, ethology, ecology
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of mold free shelf-life predictive models, determining the number of variables as well that need to be recorded to be able to train the model; (ii) design and development of a model to predict mold growth