57 phd-position-in-database-modeling Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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consisting of PhD-level scientists, graduate students and undergraduate students and across multiple institutions (Khalifa University, Cornell University). Applicants must have a PhD in Bioengineering or
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will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with a full publication list, transcripts of Master’s and PhD degrees
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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in the fluid mechanics laboratory for experimental fluid dynamics. SITE is inviting applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims
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or Python) is required. Experience with large-scale concrete testing, modeling, and simulation (e.g., COMSOL, Abaqus) is a plus. Familiarity with AC impedance spectroscopy, electro-mechanical impedance, wave
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for Ordinary Portland Cement (OPC) without supplementary binders. The successful applicant will contribute to a multidisciplinary research environment, collaborating with PhD-level scientists, and
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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expertise in neuro-imaging (Rokers, Abdullah) and experience applying multimodal imaging to health-related issues and public health (Ali, Cho). The positions are funded for two years with the possibility
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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or Research Associate to join our team starting 1st January 2026. This position offers an exceptional opportunity to be part of a cutting-edge research environment focused on synthetic organic chemistry