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Field
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of concepts from quantum information to quantum materials; algorithmic aspects of quantum computing; topological aspects of magnetism; connections between condensed matter and high-energy physics
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-resolution dosimeter, and new algorithms. Following this, the candidate will parameterize a Monte Carlo-based dose calculation system (e.g., GATE, TOPAS, or Geant4-based simulation tools) for evaluation in
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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motivated postdoctoral fellow to investigate how cell death sensors regulate immune responses, with an emerging interest in the retina. Building on our prior work (PMID: 35969037, PMID: 36662852) we aim
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., adolescents, college students, STEM teachers, healthcare professionals) multimodal multichannel data (e.g., log files, eye-tracking, physiological sensors, facial expressions of emotions, screen recordings, etc
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motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest
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data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
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Requisition Id 15253 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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design, prototyping, testing, and refinement of robotic systems and automation solutions, including sensor integration and feedback control. Collaborate with a multidisciplinary team to design and execute