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: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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1. PhD in Chemical Engineering, Process Engineering, or a related engineering discipline. 2. Experience in pilot plant engineering, process commissioning, or industrial process operations. 3
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-HQPD-2026-0266 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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Environmental Sciences is currently seeking a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra
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supports applied food processing research projects with strong industry relevance, focusing on product development, process optimization, and food characterization. Key Responsibilities Lead and manage
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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microscopy for cellular morphological analysis.Documentation: data processing, drafting scientific reports or manuscripts, and weekly progress monitoring. Where to apply Website https://pica.cineca.it
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning