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minimally capable of running on the edge, ideally of running on power-efficient embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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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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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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change in identity in all other cells, often resulting in molecular states that are eerily similar to those observed in diseases. How these intercellular cascades are exactly wired is poorly understood
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change in identity in all other cells, often resulting in molecular states that are eerily similar to those observed in diseases. How these intercellular cascades are exactly wired is poorly understood
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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State University Morgan State University is the largest historically black college (HBCU) in Baltimore, Maryland and is Maryland's designated public urban university. Our University offers a dynamic and
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compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and