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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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modeling of complex information systems, and SDU and the Royal Danish Defence College’s established intelligence studies and practice. By introducing computational modeling to traditional intelligence
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experimental work and risk modeling, you will help uncover how chemicals and microplastics are released from consumer products and contribute to the development of Safe and Sustainable by Design (SSbD
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Skłodowska-Curie Doctoral Network SCARPA, a European training network committed to circularity and sustainability in the footwear industry. Through advanced experimental work and risk modeling, you will help
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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the resilience of offshore marine infrastructures exposed to harsh and extreme environmental conditions. Through this PhD scholarship, you will contribute to the development of a physics-informed and data-driven
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on damage modelling. Calculation of linear and nonlinear response of offshore structures exposed to various loading scenarios including operational and extreme environmental conditions Development of accurate
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of dysfunctions in lipid homeostasis in the emergence of neurodegenerative diseases including Alzheimer’s and Parkinson’s Diseases. Our approach consists in identifying, using biological models, lipid changes
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cells during skin inflammation. Project description The project will focus on T cell responses in skin exposed to various contact allergens. You will mainly use mouse models for allergic contact
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interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models of neonatology. The successful candidate will be affiliated to the research