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dimension of uncertainty in power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 23 hours ago
for defect detection and process optimization of tissue constructs (based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management
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for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs
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power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have been adapted for quantum
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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infections. As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You
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perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
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solar light harvesting. Evaluate photocatalytic performance for hydrogen production and wastewater remediation. Characterize materials using different techniques, and link properties to performance
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molecules. Position Overview: We seek a postdoctoral researcher to develop and optimize surface functionalization strategies for optical chips, focusing on molecular recognition systems capable of operating