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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge exchange. The postdoc position primarily involves research in some of the most current and interdisciplinary
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optimize industrial processes. -Collaborate with academic and industrial partners to support technical innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge
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. The application deadline is September 17, 2025. Project description This project involves the use of optical metrology techniques to detect early signs of decay in fruits. Traditional methods for assessing food
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clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline
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of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final
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matter direct detection and will allow the selected candidate to establish themselves as a leading researcher in an interdisciplinary field at the forefront of science. The research will be conducted
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will find new contacts and support through Lund’s International Citizen Hub Lund . Lund University is a public authority which means that you receive special benefits, generous annual leave and a
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bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University’s computer cluster as well as programming
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detection and will allow the selected candidate to establish themselves as a leading researcher in an interdisciplinary field at the forefront of science. The research will be conducted within the Division