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Field
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two complementary research groups - Advanced Doped Diamond Materials (AD2M) and Gas Sensors and Functional Materials (GSFM) - the department develops high-quality thin films with tailored structural
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computational platforms. • Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. • Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and
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simulation and AI-enabled methods. The position involves hands-on work with robotic platforms, sensors, actuators, and embedded systems, as well as system-level testing and deployment. Responsibilities will
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areas: electronics and microelectronics optical systems and lasers ultrasound or sensor technologies precision instrumentation mechanical design and CAD biomedical imaging systems Programming experience
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for multimodal federated learning that can integrate information across distributed datasets, including imaging, omics, clinical, text, sensor, and other structured or unstructured data modalities. Design and
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qubits and next-generation quantum sensors. AI Integration: Collaborating with AI experts to integrate machine learning and autonomous agents into the crystal growth and device development workflow
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position combines sensor development, optical interrogation (e.g. OFDR), and data analytics, contributing to the creation of intelligent systems for structural health monitoring and digital twin applications
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We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The focus is on developing wafer-scale 2D materials using CVD, PLD
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of Transition Edge Sensor (TES) bolometers for studies of the Cosmic Microwave Background (CMB), while also supporting the exploration of novel applications for superconducting detectors. As a member of Argonne’s
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling