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power modules for advanced HPC platforms. This position will focus on innovative power architectures, advanced circuit topologies, magnetic component optimization, and integrated packaging solutions
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systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This postdoctoral position will help design and evaluate interactive ideation and
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then be used in a learning framework to design an automatic controller to optimize the usage of the sluice under various conditions. The other project will address challenges related to Sustainable Water
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects
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experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase chemistry of
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. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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generation Developing and optimizing generative models for de novo binder design Collaborating closely with wet lab scientists who will express and test the designs that have been created Developing scalable
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’ creativity toward concurrent optimization of human health and energy efficiency. This postdoctoral position will help design and evaluate interactive ideation and simulation AI supports tools. You will join an
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make