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business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence, or related fields by September 2026. Preference will be given to those with a proven
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for alternative analytical approaches for vaccine–antigen quantification. You will then learn current industry best practice methods involving ELISA assays and biosensor technology at Zoetis before developing and
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strong foundation in programming (e.g. Python) and core concepts in machine learning or data analysis. Ability to engage with research literature and develop analytical, problem-solving, and algorithmic
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, and explainable machine learning to analyse campaign text, imagery, and investment outcomes. While experience in analytics or programming is desirable, training and supervision will be provided
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speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT) familiarity with machine learning, data analytics, or deep learning keen interest in
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) familiarity with machine learning, data analytics, or deep learning keen interest in privacy-preserving technologies proficiency in both written and oral English work independently and in a structured manner
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paleoecology and/or stable isotope geochemistry, or a strong willingness to acquire these skills during the project. Experience with faunal analysis, zooarchaeology, geochemical laboratory work, or quantitative
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understanding of the interactions between sweetness and flavour intensity in frozen desserts. The successful candidate will gain a multidisciplinary experience, learning aspects of sensory evaluation