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Field
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago
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mathematical models and refine parameters for single-cell, genomics, and metabolomics data analyses. While primarily focused on computational work, they may elect to acquire hands-on experience with
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of Mathematics at the Hebrew University of Jerusalem is soliciting applications for postdoctoral positions, to be hosted by one of the faculty members listed below. Candidates must hold a PhD in mathematics, or
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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techniques in interfacial science; and mathematical techniques and computer programming for data analysis. Considerable skill in working interactively and productively in a multidisciplinary environment Good
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
completed a PhD in a relevant field including but not limited to STS, Computer Science, or Organizational, Software or Infrastructure studies. This project requires the ability to conduct interdisciplinary
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mentoring, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience. Skills
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packages for the successful candidate. Topics of Interests Post-Quantum Cryptography Multi-Party Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Position The position is open at
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Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology. Mathematical techniques include qualitative and numerical analysis