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known as Uppsala University Drug Optimization and Pharmaceutical Profiling (UDOPP) — operates as a specialized unit in the Department of Pharmacy, Faculty of Pharmacy. The unit focuses on in vitro ADME
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Advanced Grant to determine the optimal combination of epitopes that elicits the highest level of protection. Within the research group, we value a positive work environment built on respect and
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical
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including modelling to determine the localization, distribution, and potential on/off-target effects of ONs in vivo. The final aim is to gain know-how on how to optimize formulations for different
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to investigate the feasibility and advantages of new design principles for transceiver frontend design, including data converter solutions. Expected outcome is a disruptive and novel approach to co-optimized radio
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material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries
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affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from
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principles for transceiver frontend design, including data converter solutions. Expected outcome is a disruptive and novel approach to co-optimized radio transceiver design with measured and verified state
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material