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systems, complex networks, data-driven modeling, machine learning, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the
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production. While discussions often focus on whether or not cows should have pasture access, little attention has been given to how these pasture periods should be managed to optimize welfare. This PhD project
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extensive expertise in technology and systems for sustainable production of food and bioenergy, including optimal nutrition circuits and logistics systems. Within the field of methodologies, we have extensive
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spray pyrolysis to produce the nanoparticles and we will study in detail their physicochemical properties. We will link these characteristics to the achieved drug loadings and optimize the nanoparticle
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' resilience. Collaborate with interdisciplinary teams from academia and the aquaculture industry and contribute to large-scale lab and on-field fish experimental trials. Optimization and development
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and verification of computation technology for model-based analysis and optimization of process systems, in this case systems for managing stormwater in extreme situations. The work is carried out in
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SLAMF6, to understand the mechanisms behind their influence on T-cell activation. This research is relevant to optimizing the utilization of these receptors in cancer therapy. The project is highly
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predictive of distant metastasis. 4. Apply and optimize AI-ML models based on the large datasets to identify and validate the oncogenic pathways and drug targets for designing targeted therapy. The findings
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approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
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: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material