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Field
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and advance imaging technologies. The team is seeking to recruit a research fellow devoted to push forward the studies of nanoscale assembly of diverse biomolecules on cellular membranes and mimicks
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part of a multidisciplinary effort to decipher how neurodegenerative processes impact the sleep-wake system, with the ultimate goal of developing effective therapeutic strategies. The ideal candidate
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advanced techniques, including patch clamp, optogenetics, fluorescence imaging, auditory brainstem response (ABR), stereotaxic surgery, RNA-seq, and computational modeling. Key Responsibilities: Assist
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) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment
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activities: Collaborate in the definition of the procedure for managing the information and metadata of 2D and 3D images of cultural assets, in accordance with national standards for heritage.Quality
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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods
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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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of high-performance computing environments on Linux servers, and knows how to submit batch-run jobs. • Experienced in processing and analyzing bulk/single-cell genomic data or spatial omics data or image