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thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 28 days ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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(photomixing). The candidate will work primarily in the IEMN cleanroom, developing and optimizing micro/nanofabrication process flows for laser device realization. A first research axis will focus
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of expensive evaluations required for prediction and optimization. A classical approach is co-Kriging (Kennedy--O'Hagan), which models the high-fidelity response through an autoregressive Gaussian process (GP
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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30 kHz by a burst laser source combined to two Optical Parametric Oscillators (OPOs) [7] applied on H2/air flame. The optimization of OH and NO excitation strategies and the quantification
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signals. Excessive sound can rupture tip links, silencing the hair cell. In vitro studies show that tip links can re grow within 24–48 hours[4,5], but little is known about how this repair process behaves
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to apply. Interest in developing optimization-based methods and experience with Matlab are also valued. Specific Requirements Recruitment process Interested candidates are warmly invited to send an e-mail
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, glycogen and future gonads of males and females. The results will allow for a better understanding of the reproductive processes in this insect within the fundamental context of sexual selection. It will
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innovative projects that have a major impact on society. Context and contributions of the position: Understanding subsurface fluid flow is crucial for optimizing geothermal systems and mitigating risks such as