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Field
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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culture and manipulation of fastidious anaerobic bacteria is required. Experience of bacterial growth and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours 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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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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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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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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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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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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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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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