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of Time • Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing
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fundamental problems in biology and work towards foundation models of biological systems and innovative AI-driven biotech applications. The Laboratory of Computational Biology in Leuven (www.aertslab.org ), led
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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pioneer of purpose-driven science and Cornell University’s second-largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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purpose-driven science and Cornell University’s second-largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach
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, particularly relating to groundwater and/or stormwater, organic contaminants, and engineered adsorbents. One or more years of experience with advanced data analysis and/or environmental modeling techniques
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expertise in design-driven approaches to coastal development, sustainable tourism, and the yachting sector. The position aims to reinforce the laboratory’s interdisciplinary team and contribute