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- SciLifeLab
- Swedish University of Agricultural Sciences
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Field
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’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants with microorganisms and other
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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the fishing and fishing gear industries. Key Responsibilities The project involves developing and implementing deep learning models for species detection, classification, and length estimation from EM video
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that values equity, diversity, and inclusion, gaining unique expertise in aerospace systems design and integration (airframe, engine, subsystems), system of systems optimization, multi-fidelity models
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, etc. Develop life cycle inventory (LCI) datasets and life cycle impact assessment (LCIA) methods to quantitatively assess the impacts of food production, processing and consumption on ecosystems, human
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and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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clients, locations and ecosystems. Established in 1914, the UO School of Architecture and Allied Arts was one of the first to break away from Beaux-Arts pedagogy to emphasize non-competitive, individualized
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the impact of processing techniques affect the (micro) structure as well as viscosity/texture of the model products. To establish the relationship between these characteristics and characteristics of the meal
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, Agroforestry Ecosystem Modelling Biodiversity Wildlife Management Course organisation Within the programme, students focus on their individually proposed PhD projects under the supervision of one