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resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and
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. • Quantitative analysis of aquaporin trafficking dynamics using advanced fluorescence microscopy and 3D image-based vesicle segmentation. • Molecular engineering of aquaporin constructs to dissect trafficking
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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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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in the Pedersen lab focusses on ion channels and their role in several neuromuscular diseases characterized by abnormal muscle excitability. Experimentally, the work involves electrophysiology, imaging
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this. It is important to develop a detailed picture of the cell types affected by these changes and if possible the temporal sequence in which they occur in order to intervene to restrict cancer progression
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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