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leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized
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of knowledge-to-action tools that support the prevention and reduction of pollution from source to sea, contributing to the objectives of the EU Mission Restore our Ocean and Waters. The postholder will play a
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health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural
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, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more
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projects focused on disaster resilience, coastal engineering, hydrodynamic and morphodynamic coastal processes, and flood risk reduction. IDRT is dedicated to enhancing disaster resilience by bridging
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advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this in line with our vision: “Taking the pulse of our Earth to safeguard a habitable
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tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life
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, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
of the actuated soft-robot phantom (WP3 "PHANTOM", task T3.3), from architecture definition through experimental validation of the prototype (deliverables D3.4, D3.5). For a better knowledge of the proposed
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advanced statistical and computational analyses, including trial-level models, mixed-effects models, clustering or latent-profile analyses, dimensionality reduction, predictive modeling, cross-validation and