23 computational-biology-physics-training Postdoctoral positions at King Abdullah University of Science and Technology
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The Division of Physical Science and Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, invites applications for Postdoctoral fellow in Mechanical Engineering
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and research infrastructure with the possibility to receive training on diverse instruments by experts in their fields. Skill diversification, e.g. programming courses in AI/ML and data visualization
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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beyond biology—integrating the economic and social realities that shape how people use and depend on reef resources. This project takes that step. Building on recent advances that have developed context
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skills in bioinformatic data analysis, pipeline implementation (and possibly development), and programming. The ideal candidate will have a Ph.D. in bioinformatics, computer science, biotechnology, biology
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. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
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of aquatic foods across time and space (using global and regional datasets). Contribute to the design and implementation of a long-term monitoring program, including: Sampling aquatic foods for nutrient
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language processing, computational biology and healthcare. Our group focuses on important and fundamental open problems in machine learning research and challenging applications in diverse fields (e.g., biology and
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and lead the development of lithium-ion battery recycling technologies. Develop advanced separation technologies including solvent extraction, membranes, and adsorption, for recycling and purification
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage