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collaborative relationships. Qualifications The successful candidate must have: a PhD degree in molecular biology, biochemistry, food science, analytical chemistry or similar a solid understanding of protein
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audit data analytics) International business Business Psychology Digitalization (e.g. data governance and cybersecurity) Inter-disciplinary courses involving the management discipline We invite proposals
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, and thorough understanding of food web interactions in coastal and/or open waters Experience with advanced statistical modelling Expert knowledge on analysing large data sets Good analytical skills Very
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Learning – Applications and Case Studies in Business Artificial Intelligence and Generative Artificial Intelligence in Business Explainable Artificial Intelligence Ecommerce, Web and Social Media Analytics
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professor. For information about attaining tenure, see Tenure review and the tenure-track assistant professorship below. The position begins on 1 January 2025or as soon as possible thereafter. The School
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on developing statistical and quantitative modeling approaches to genomic and phenomic data and apply these models for understanding the genetic mechanisms underlying variation in agronomic traits
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professor within three to five years. See ‘Tenure review and the tenure-track assistant professorship’ below for information about attaining tenure. The associate professorship is full time and tenured
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chemistry, analytical chemistry A MSc and PhD degree in food science, biochemistry, molecular biology or similar The application must be in English and include curriculum vitae, publication list, degree