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various computer vision systems for quality control in industrial environments Integration of fine-tuned and adapted LLMs and LVMs in edge-cloud architectures Design of Large AI Models (LAMs) for visual
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of laboratory test requisition entry, and customer service related duties. The MLT-Processor also participates in quality control, continuous quality improvement activities, inventory control, professional
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courses/programs (e.g., zoom, webex, etc.). Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu
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; Master’s degree (MA or MSc/MSc Eng.) in biological, neurobiological, medical, or health sciences, or a related field; Very good command of English (minimum B2 level); Proficiency in data analysis software
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sciences, biomedical engineering, or psychology; good command of English (minimum B2 level); proficiency in using data analysis software (familiarity with Spike2 software is an additional asset); basic
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from EMG, motion capture, dynamometric, or stabilometric systems, mathematical modeling, biopotential analysis, bio-algorithms, or computational neuroscience projects); good command of English, enabling
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. They should demonstrate strong competency in the analysis and interpretation of longitudinal observational data, and have a good command of written and spoken English and Chinese. They should have a strong
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
control-flow protection. Hardware-software co-design will be investigated on open-hardware RISC-V SoCs. The researcher should therefore develop expertise in embedded and cyber-physical systems, neuromorphic
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at the Department of Control and Automation Engineering (DECA) at the Sorocaba Campus of the São Paulo State University (UNESP). The position is open to both Brazilian and foreign nationals. Stipend: R$ 12,570.00
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-process quality control for the multi-material integrated FFF/FGF/DIW-based process. Targeted applications include geometrically complex and structurally efficient components with embedded SHM sensors and