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Field
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis of single-molecule microscopy data in collaboration with theorists from other institutions Your
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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are crucial, such as legal analysis, scientific discovery, and industrial planning tasks. Daniel Kahneman's concept of Thinking, Fast and Slow distinguishes between two modes of cognitive functioning: System 1
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, functionalising, and characterising nanoparticles for targeted delivery in the human body. Responsibilities also include in vitro cellular testing, data analysis from cytotoxicity and bioavailability studies, and
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, confocal, super-resolution, and electron: transmission electron microscopy) complementary expertise in image analysis Hands-on experience with epithelial barrier assessment assays (transepithelial
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can