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to research in the field of embedded real-time systems. Excellent English skills. Where to apply Website https://jobs.uni-siegen.de/job/Researcher-Embedded-Systems-57076/1287606101/ Requirements Research
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embedment, microtomy, mounting and staining. Performs routine and special histology including advanced immunocytochemical and histochemical testing. Recognizes procedural, instrument and quality control
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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California State University, San Bernardino | San Bernardino, California | United States | about 7 hours ago
Hour CSU Salary Schedule: https://www.calstate.edu/csu-system/careers/compensation/Pages/salary-schedule.aspx A background check (including a criminal records check) must be completed satisfactorily
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to the development of wireless sensor systems for Structural Health Monitoring (SHM) applications. The role focuses on mechatronic system development, with strong emphasis on electronics, embedded systems, and
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development for embedded systems and explore cloud storage solutions for video recordings. Ensure compatibility of the device with standard sterilization processes. Support the compliance with regulatory
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offers a unique environment for teaching, study, research and knowledge transfer. We seek: In the Faculty IV: School of Science and Technology, Dep. ETI / Embedded Systems, we are looking for a researcher
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embedded systems to emerging unconventional platforms (e.g. probabilistic computing). The research will define the architectural requirements for the next generation of robotic hardware. Prospective
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-attention architectures for real-time embedded vision systems, focusing on the integration with Large Language Models (LLMs) for multimodal applications in autonomous vehicles. Collaboration on projects in