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our close collaborators in psychology, physiology and neuro-imaging fields. The candidate The successful candidate must have a strong research profile in sensory and consumer science, more specifically
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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. This project aims to improve the evaluation of nitrogen losses in cropping systems by analyzing experimental results and carrying out process-based modelling. Additionally, you will apply your research findings
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functional properties. The post doc position is part of the Food technology group at Department of Food Science, Aarhus University and may also include teaching and dissemination activities, as