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intelligence, to support different aspects of marine science, with opportunities to expand to other areas. This is a 12-month, non-tenure-accruing position, available in the Systems and Imaging Laboratory (SAIL
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations. The Research Vision-CAIR group performs research and develops computational approaches in the following research
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to fields like particle physics and cosmology. Research on nonlinear optical imaging systems and optical tweezers techniques for applications in soft, biological active matter systems. Computational
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collaborate across disciplines, including math, chemistry, biophysics, condensed matter physics, materials science, and others. Postdocs will actively contribute to the knotted chiral meta matter paradigm
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, including math, chemistry, biophysics, condensed matter physics, materials science, and others. Postdocs will actively contribute to the knotted chiral meta matter paradigm that probes the fundamental laws
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data, leveraging advanced computational models, and applying state-of-the-art genomic technologies. The postdoc will develop new computational approaches to further our mission to identify drug targets
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Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation & Information Science o Post-Quantum Cryptography, Homomorphic Encryption and Computing o Theoretical and Computational
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: □ Computational Sciences o Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation & Information Science o Post-Quantum Cryptography, Homomorphic Encryption and Computing o
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collaborations relating to understanding disease heterogeneity through genetics, transcriptomics, imaging, and other biomarker data across human data sets. Success in these responsibilities requires a thorough