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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing a new family of printable high-gauge factor wireless sensors by building and extending our related...
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-for-Calibration-of-Computer-Models-with-Discussion/10.1214/21-BA1293.full - https://www.tandfonline.com/doi/abs/10.1080/01621459.2021.1887741 - https://arxiv.org/abs/2303.00800 - https://arxiv.org/abs/2305.18900
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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at MCEM, an in-depth knowledge of theoretical mechanics is a firm requirement. A high level of self-motivation, a strong publication record, and a good command of oral and written English, the ability
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@kaust.edu.sa and [email protected] ). PLEASE USE this as the subject of your email: Post Doc MCEM24–CompH2 Note: Applicant will be evaluated on a rolling basis and closed as soon as the position is
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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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To apply for this position, please send an email to Nouf and ensure that you include the following documents (combined in a single pdf file): Cover letter Curriculum vitae Contact information
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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of bioinformaticians, computer scientists, biotechnologists, biologists, and biochemists. The successful candidate will also enjoy an environment aimed to facilitate progress in the research career: networking, student