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Field
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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software. Knowledge of explainable AI methodologies. Experience integrating heterogeneous instrumentation under unified control architectures. Track record of publications in high-impact journals in
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requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
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/ML models and hardware/software co-design for AI applications. ● Radiation testing of electronic systems, with an emphasis on single event effects. Preferred Qualifications: ● Experience in
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Higgs and Standard Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies
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/ML models and hardware/software co-design for AI applications. ● Radiation testing of electronic systems, with an emphasis on single event effects. Preferred Qualifications: ● Experience in
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architectures to solve data-driven sensing and control problems related to turbulent atmospheric flows. The work will center around investigation of reinforcement learning and convolutional neural networks
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applications for a postdoctoral position in the Department of Astronomy at Indiana University to work with Professor Songhu Wang on the demographics, architectures, and dynamics of planetary systems in both
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focused on the intersection of Machine Learning and Optimization Proven expertise in surrogate modelling, specifically in designing neural architectures for emulating constrained optimization problems
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carbide ceramics. This project is a close collaboration between the Smart Materials Processing and Architectured Materials groups of the laboratory and focuses on the design, fabrication and