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, experience and personal qualities. All documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading. Please note that
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the advertisement and that all required documentation has been uploaded. If the total size of the attachments exceeds 100 MB, the files must be compressed before uploading. UiS only considers applications and
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applications. Key hands-on training components include: Development of chemical, biochemical and enzymatic digestion methods of complex organic matrices to isolate targeted analytes Develop novel methods
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toxin-producing E. coli, Salmonella, Listeria monocytogenes). Analysis is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers or concentrations
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documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading. Please note that information about you as an applicant may
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simulations of normal compression, shearing, unload-reload hysteresis and creep. A second Research Fellow will work on the project for a duration of 3 years starting one year after the project begins. By
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-state hydrogen storage and compression technologies. A key aspect of the role will be the computational discovery, design, and modelling of metal (complex) hydrides using state-of-the-art atomistic and
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technologies, such as extrusion, lamination, gelation, or emulsion‑based structuring. Knowledge of protein gels, microgels, fat mimetics, and structure–function relationships in food matrices. Familiarity with
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) knowledge of the physico-chemical and microbiological characterisation of aqueous matrices. Excellent knowledge – 20 points. High level of knowledge – 15 points. Average knowledge – 10 points. Low level of
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of matrices and extraction of bioactive ingredients. Experience in the valorization of agri-food byproducts and their characterization using chromatographic techniques will also be considered. Preferred Factors