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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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trials, longitudinal cohort building, multi-modal imaging, biobanks, epidemiology, neuropathology, wearables and biotech, experimental disease models including animal and cell models, and basic science
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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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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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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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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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through teaching and research of high international quality. In your daily work, you have a close interaction with competent colleagues. You will process tissues harvested from hibernation models, perform
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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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-of-the-art research facility at AU FOOD. AU FOOD is in possession of the most advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. The Department currently employs