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system serving as a real-world lead-optimization case study. The successful candidate will play a central role in the computational and AI components of the project and work closely with our international
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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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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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The project's main tasks focus on the development and optimization of new retroelement-based genome engineering tools; the design, execution, and analysis of molecular and cellular biology experiments; and the
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stochastic-control, optimization, or decision-making approaches for systems operating under uncertainty; and building reproducible, deployment-oriented workflows for real-time, automated, edge, or cloud-based
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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
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bioinformatics. Experience in animal handling and sample collection. Knowledge, Skills, and Abilities Excellent communication skills, ability to work independently, demonstrated creativity and high motivation
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interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
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Are you passionate about organic electronic materials and doped conjugated polymers, and how they connect processing, microstructure, and electrical performance? Prof. Derya Baran ’s research group
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altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc). Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater