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Field
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and algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US
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, construction and commissioning of the MOLLER detector at Jefferson Lab * Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various detector R&D projects. * Participation in
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, focusing on its roles in metabolic pathways essential for biosynthesis and redox balance. Our work explores how p53 functions as both a sensor and regulator of cellular metabolism. We are also identifying
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force‑responsive probes, DNA‑based sensors, or advanced microscopy to understand mechanochemical signaling in cells. Operate and innovate with state‑of‑the‑art optical, fluorescence, and force
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algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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to, benefit-harm analysis of cancer early detection tests, development of clinical decision rules in cancer early detection leveraging Electronic Medical Records (EMRs), and development of EMR-based algorithms
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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mechanics using wearable sensors. • Models of bone health in running populations. • Models of tissue stress and strain in athletes. • Models of health and performance in female athletes. • Models of athlete