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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors
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reactors and the study of sonochemical reaction engineering. We excel at controlled experiments aimed at determining the driving forces for optimally efficient sonochemistry across different reactor scales
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or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications
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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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intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
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staff position within a Research Infrastructure? No Offer Description The selected candidate will develop innovative and efficient resource optimization algorithms, suitable for this context, with cost
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high
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-21-CE08-007 ended in March 2025). The work in N POLAR will focus on the development and optimization of this innovative process (hybrid semiconductor/metal/semiconductor heterostructures) in order to