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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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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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: - A PhD degree in optimization or systems and control theory. - A strong mathematical background and an interest in conducting theoretical research. - A proven track record. - Excellent English
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the future? PhD research fellow in "Distributed Optimization and Control of Reactive Power" Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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-dimensional scaffolds using FDM 3D printing for cell culture applications. Develop and optimize biomimetic materials with controlled mechanical and biochemical properties. Functionalize scaffolds with
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-performance relationships in inorganic materials. Develop, implement, and optimize automated research workflows with real-time monitoring, data acquisition, feedback, and reproducibility controls. Analyze
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | 3 days ago
growing layer composition; (iii) standard evaporation conditions, enabling homogeneous and controlled K/Na and Nb/Ta vapor supply will be optimized; (iv) development of RTP for the sol-gel films synthesized
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for University Housing in the University Housing Department. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122679 Applicants must submit a cover letter, resume and list
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Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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artificial intelligence, but their growing computational and memory demands make efficient deployment essential on resource- and energy-constrained platforms. The project will study how optimization methods