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twins, optimization, and control. In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning with classical control theory
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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these people live. Basic Qualifications The postdoctoral fellow position requires a PhD in environmental health, environmental engineering, environmental science, microbiology, or a related scientific field by
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, natural language processing, model optimization, and AI systems, with a proven publication record at top-tier AI conferences and journals. Job Description: Conduct research on Green AI technologies
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2026 (or as agreed). Description of PhD Project The PhD student will be responsible for leading projects focused on the development of novel computational and AI tools to improve our understanding
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areas of nanoscience and nanotechnology. Job Title: PhD Student Department: Nanobioelectronics and Biosensors Description of Group/Project: The Nanobioelectronics and Biosensors Nanobioelectronics and
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Infrastructure? No Offer Description Associated research staff for Design, optimization and execution of biological assays in microfluidic systems; Repair and characterization of microfluidic devices and
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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and
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its global impact. Candidates should hold a PhD in Mathematics or a closely related field and possess the stature of a full Professor at a research-intensive institution. The most highly qualified
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout