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Field
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of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
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Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program offers a
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be proficient in both written and oral English. Experience from one or both of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and
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-throughput functional screens, and computational biology. They will deploy single cell genomics and spatial transcriptomics approaches to uncover new tumor-TME communication patterns, deploy therapeutic
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, Chemistry, Engineering, preferably in an area involving Raman spectroscopy (Applicants in the process of Ph.D. submission will be considered.) • Knowledge of Raman spectroscopy instrumentation. • Strong
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and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in-the-loop simulations, prototype development, and bench-level testing to validate design
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characterization platforms, state-of-the-art microscopy resources, and computational tools for systems biology approaches. The position emphasizes rigorous mechanistic investigation using both in vivo (C. elegans
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a focus on synaptic plasticity, NMDA receptor signaling, 2-photon optogenetics, and advanced 2-photon imaging. We are particularly interested in candidates with strong expertise in whole-cell patch
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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omics, label-free microscopy, in vivo screens, and foundational models. The ideal candidate for this role has a strong foundation in both experimental and computational sciences, but exceptional