37 molecular-modeling-or-molecular-dynamic-simulation positions at King Abdullah University of Science and Technology
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molecular biology to address critical questions in genome biology, evolution, and disease resistance of wheat. Our mission is to perform impactful, curiosity-driven research that translates into crop
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of molecular cargo to any specific cell type in the human body. Revolutionary advances in genome editing and cell manipulation tools await their translation into the clinic, but current vector technologies
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contribute to pioneering research with the potential to drive significant advancements in combating climate change and promoting sustainability. Collaborate with a dynamic team of international researchers and
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: Docker, MLflow ○ Expertise in 2D/3D image segmentation, detection, and Stable Diffusion techniques (U-Net, V-Net, DeepLab) ○ Strong experience with Generative AI models (GANs, VAEs
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rigorous 3D modeling tool to model multiphase fluid flow within the wellbore using a computational fluid dynamics (CFD) solvers, such as OpenFOAM and Ansys-fluent. The model should account for thermodynamics
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excellence in communication, ability to build effective teams, possesses interpersonal communication skills, and the ability to initiate and model positive change. Able to prioritize and juggle complex tasks
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devices Design intuitive interfaces for AI model interaction and advanced image analysis Manage high-performance databases optimized for large-scale imaging datasets Implement security measures including
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) for analysis and prediction based on medical or biological imaging data Bioinformatics: methodology for the analysis, integration, and prediction based on high-throughput molecular data Biomolecular design
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experience with molecular and cell biological methods. The applicant will work to advance our knowledge of viral vector production in versatility, stability and efficacy with modern techniques from plasmids
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with experience in areas such as flexible and large area electronics, neuromorphics, energy harvesting and sensors/detectors. We invite applications from dynamic individuals with demonstrated expertise