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"Gheorghe Mihoc - Caius Iacob" Institute of Statistical Mathematics and Applied Mathematics of Romanian Academy | Romania | about 2 months ago
Research Infrastructure? Yes Offer Description Participating in research and development activities by implementing, testing and validating biomedical data analysis methods, artificial intelligence and
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About the Opportunity JOB SUMMARY The Associate AI Engineer will be responsible for designing, developing, and implementing AI systems and data pipelines that enhance and automate university
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application. Develop customized ILC and parameter optimization algorithms for industrial applications, going from theoretical analysis to implementation and testing on real systems Develop adaptive control and
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analysis, algorithm development, simulation, and hardware-in-the-loop experimentation. The Research Fellow will work closely with the Principal Investigator and collaborators/students across NTU Singapore
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two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and testing of model
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aerosol properties from satellite observations using advanced inversion algorithms (such as the GRASP retrieval framework: https://www.grasp-earth.com/ ). Website for additional job details https
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to new developments. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future
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of the following tasks: Development of digital signal processing (DSP) algorithms and subsystems for optical communications, including support to multicore fiber transmission; Implementation of the developed DSP
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underwater environments and their impact on detection and localization; Development and implementation of algorithms for filtering, detection, and temporal segmentation of acoustic signals; Evaluation
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that require a high degree of expertise, creative insight and technical skill, resulting in advances beyond the current limitations of MEG technology; and will develop novel solutions that address long standing