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Field
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data Exposure to decision-making, multi-objective optimization, or declarative problem modeling Prior involvement in open-source or reproducible systems research Interest in interdisciplinary
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the Quantum Science Center, a Department of Energy (DOE) National Quantum Information Science Research Center. In this multi-institutional cross-disciplinary center, the successful candidate will engage with a
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influenced later testing of multi-antenna devices in 4G and 5G radios. The group is well known for its strong relationship with industry and experimentally based research, which is enabled by world top-notch
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integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted discovery of novel
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cardiometabolic and neurodegenerative diseases. The research integrates: · Neurophysiology & cardiorespiratory control · Heart failure (HFpEF, high-output HF), hypertension & intermittent hypoxia · Sympathetic
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block • Plant onion bulbs/watermelon seeds for crossing block • Develop breeding populations • Collect multi-location field, greenhouse, and nethouse data and maintain database which requires a
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
Research focus and environment: One postdoctoral scholar position is immediately available in the Ling lab in the Department of Genetic and Cellular Medicine (GCM), Horae Gene Therapy Center at the
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Institute (PSI) is a multi-disciplinary institute focused on understanding human development, preventing behavioral health problems, and implementing effective interventions in community settings. The PSI
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Photon Source) and with collaborators at SLAC Engage with a multi-lab team that includes scientists from Fermilab and Jefferson Lab Application Materials Please submit: Research statement Official graduate
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lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high