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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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proteins must exhibit high nutritional and functional quality, this includes optimal protein composition, a favorable amino acid profile, and functional properties such as solubility, gelling, and foaming
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demands of both consumers and the food industry, plant proteins must exhibit high nutritional and functional quality, this includes optimal protein composition, a favorable amino acid profile, and
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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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hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties. An emerging frontier focuses on designing proteins that act as templates
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infrastructure. This full-time position focuses on building robust data pipelines, optimizing analytical workflows, and integrating mass spectrometry proteomics data with multi-omics platforms. You will play a
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. Within this platform, the ADME of Therapeutics (ADMEoT) — also known as Uppsala University Drug Optimization and Pharmaceutical Profiling (UDOPP) — operates as a specialized unit in the Department
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doctoral studies at Sahlgrenska Academy, see https://www.gu.se/en/sahlgrenska-akademin/doctoral-studies Project: Dosimetry plays a key role in optimizing safety and efficacy in radionuclide therapy. However
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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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validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC