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of food ingredients. The research is focused on structural and physical aspects of food ingredients and food matrices using high resolution microscopy and image analysis. We are seeking a highly motivated
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analyzes the concentrations of drugs and environmental chemicals in various matrices. The department offers a stimulating research environment with dedicated colleagues and a formalized teaching and training
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, autofocus, and multichannel detection. Validate models and workflows using diverse, real-world sample matrices (e.g., drinking water, milk, blood), benchmarking against regulatory and ISO guidelines
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on artificial molecular networks (neighbour-neighbour interaction matrices) created experimentally in the sample. This is essentially about turning the sequencer into a microscope that uses DNA sequence, not
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. An extension of 1–2 additional years may be offered, subject to satisfactory performance. Job description The successful candidate will contribute to cutting-edge research on topics including: Token compression
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engineering to identify variants with high performance towards PFAS degradation. Enzyme immobilization for efficient and continuous enzymatic PFAS degradation in realistic water matrices and under water
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uniaxial creep tests (tension, compression) and comparing the results Characterization of the microstructure–property relationship using optical microscopy, SEM and EBSD Correlation of microstructure and