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Field
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with an emphasis on translational application and therapeutic development. The Cornea Biology Laboratory, under the direction of Sophie Deng, MD, PhD, studies corneal stem cells aiming to develop novel
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the Edinburgh Parallel Computing Centre), the Generative AI Lab, and the Centre for Technomoral Futures. The successful candidate will contribute to both theoretical analysis and computation experimentation (in
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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for the electrochemical community. In this work, we aim to study the mechanical properties of electrodes during charge/discharge cycles, in parallel with the ionic insertion/deinsertion phenomena observed by
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done as teamwork in the NANO research group at Aalto University School of Science, in collaboration with the groups in the National Center of Excellence “QMAT - Quantum materials”. In parallel, the NANO
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, these JoFETs components will provide a scalable building block for gatemon qubits and other quantum circuits. In parallel, we will conduct various experiments on the silicide films to investigate the possible
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provide a scalable building block for gatemon qubits and other quantum circuits. In parallel, we will conduct various experiments on the silicide films to investigate the possible emergence of triplet
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at Aalto University School of Science, in collaboration with the groups in the National Center of Excellence “QMAT - Quantum materials”. In parallel, the NANO group is pursuing work on fractional Chern
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domains. Qualifications Required Qualifications: A recent PhD in a mathematical or scientific field (e.g., physics, computer science, statistics, applied mathematics, or a related quantitative discipline