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) working on a wearable sensor development project. This project aims to develop a Wearable Sensor Network that integrates wireless, miniaturized sensors to measure physiological parameters across multiple
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or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key Competencies: Understand existing
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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. Key Responsibilities: Conduct research in shipping network modelling and resilience analysis, maritime decarbonisation, data analysis, methodology development and applications Coordinate the preparation
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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data collected longitudinally across the post-infection study time course to optimize machine learning methods that predict disease outcomes and identify host factors and interactions that most heavily