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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also desirable. Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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materials as part of Program 1. Candidate Profile: PhD in Chemistry Outstanding academic record Advanced knowledge in one of the following areas: environmental chemistry environmental sciences, environmental
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with multiple electrodes – multipolar catheters – are increasingly used to facilitate electroanatomic mapping of the atria before ablation. Despite advances in ablation technology, the search for optimal
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and the reduction of protons to hydrogen gas. Work duties The work involves optimizing the respective photocatalytic reactions that have been develop in the group using iron N-heterocyclic carbene
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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circuits. The researcher will independently design and conduct experiments using preclinical models of SCI; develop, optimize, and troubleshoot experimental techniques and protocols related to spinal
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practice. We also welcome exceptional applicants in all research areas, noting ORIE's long term interest in building strength in discrete optimization. Requisite is a strong interest in the broad mission
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, noting ORIE's long term interest in building strength in discrete optimization. Requisite is a strong interest in the broad mission of the School, exceptional potential for leadership in research and