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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a related field. Extensive experience
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social
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is seeking a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The candidate will have the objective of developing models for estimating and predicting the yields of targeted crops
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. The successful candidate will work on implementing a hybrid modeling scheme driven by remote sensing data to enhance the estimation of some of the significant water balance components. The candidate is expected
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used to estimate the contribution of both strategies (pasture recovery and ICLF systems) to climate change mitigation in Brazil. Besides being critical to Brazil achieve iNDC commitments, such effort