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Field
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experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, fabrication, and evaluation of loaded MAPs with clinically relevant dosing. The project will involve integration of materials science, drug delivery, and advanced manufacturing to optimize device architecture
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
collaborative research focused on the development, optimization, and validation of advanced in vitro systems for aerosol and inhalation exposure delivery of xenobiotics. Responsibilities include designing and
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to implement dynamic force control to achieve faster and more tests. The main part of the works of this post-doc position will thus consist in developing a sensorized (instrumented) tip that will
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the first stage, we will thoroughly investigate the structure and quantum control capabilities of the proposed strongly polar molecules. Next, we will develop an optimal method for encoding qubit states on
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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the environment, and how they control navigation, hunting, and communication behaviours. The candidate will collect and process the retinal and optic lobe tissue from each animal. They will then work with
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation