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and team-based research, the candidate will actively engage with internal and external collaborators, contribute to scientific publications and presentations, and support the advancement of high-impact
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Qualifications: Experience in proteomic data analysis and laboratory bench work related to proteomics. Experience operating image-based flow cytometry platforms and analyzing resulting datasets. Experience
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computer vision models and web-based decision support tools, to enhance efficiency and decision-making in swine production. Required Minimum Qualifications: • Ph.D. in Animal Science, Swine Nutrition
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, interdisciplinary research environment. Key Responsibilities Develop and advance non-thermal plasma-based technologies for: Nitrogen fixation Valorization of renewable feedstocks Conversion of waste streams
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, interdisciplinary research environment. Key Responsibilities Develop and advance non-thermal plasma-based technologies for: Nitrogen fixation Valorization of renewable feedstocks Conversion of waste streams