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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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hands on engineering assistance on OIR instrumentation projects as needed: Assemble mechanical, optical and electrical components. Assemble and connect various technical/lab equipment and components
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, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
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, evolutionary genomics and plant systems biology. Current research topics include developing a single-plant omics strategy to unravel the molecular wiring of plant phenotypes, studying dosage balance-sensitive
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data and artificial intelligence (AI). Current efforts focus on three priorities: 1) tracking real-time affect and cognition to understand the impact of emerging learning technologies, 2) refining and
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genomics and plant systems biology. Current research topics include developing a single-plant omics strategy to unravel the molecular wiring of plant phenotypes, studying dosage balance-sensitive genes in
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adults. We use various brain mapping techniques (EEG, MRI, intraoperative electrophysiology) and sensors to record simultaneous brain activity and movement during simple computer and walking tasks or in
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also be opportunities to contribute to additional projects, such as projects utilizing intracranial electrical stimulation and intracranial EEG (iEEG) data, depending on the candidate’s interests and
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications