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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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-driven life science framework. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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hospital, through CMIV , with different types of expertise. The group also collaborates with other divisions at Linköping University; mainly the computer vision laboratory at the department of electrical
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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. The team at AstraZeneca is based at our vibrant R&D site in Gothenburg, Sweden and applies biophysical technologies across a range of different modalities to support drug discovery from target validation
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multidisciplinary environment at the interface between academia, clinic, pharma industry, where resources and expertise in human biobanking, omics data, imaging, animal surgery and molecular biology methods will be
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across environmental contexts, potentially leading to markedly different functional outcomes for host plants. Determining the extent, structure, and consequences of this phenotypic plasticity is an
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential