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defined gas-liquid interface apparatus and other reactors to determine stability under a range of experimental conditions. Using the experimental data to develop a model describing the effect of conditions
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. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be accomplished using methods such as
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at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor
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, electrical engineering, communications engineering or similar - Solid computer science and analytical skills, including modelling and verification, programming language theory or quantitative model checking
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, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
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comparative assessment of model performance at various TRLs Tested performance difference between modes of production (solid and liquid) in terms of Gate-to-Gate, sustainability impacts. This development will
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of feedstock, pretreatment methods and microbial products such as, SCPs. Deploy a comparative assessment of model performance at various TRLs Tested performance difference between modes of production (solid and
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–) - this project aims to use small synthetic models of these redox-active cofactors to drive multi-electron redox reactions inside new metal–organic frameworks. Research Group The McPherson group design new metal
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient