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the potential to apply these methods to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large
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stability in E. coli compared to unfused enzymes. The successful candidate will Develop coarse-grained (CG) models for CAR and other enzymes of the cascade based on atomistic simulations provided by
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range of international partners. Your tasks in detail: Identify new applications and protocols to demonstrate quantum advantage on existing and near-term quantum simulation devices Develop and tailor
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High motivation to take on responsibility and develop own research idea Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping
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motivation to take on responsibility and develop own research ideas Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change
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of QC in energy grids simulation, optimization and control aligned with QC technology development. Your tasks in detail: Develop quantum algorithms for energy system simulation, optimization and control