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About the Opportunity ABOUT THE OPPORTUNITY The Di Pierro Lab is focused primarily on physical genetics. We are broadly interested in the physical processes involved in the translation of genetic
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The Theoretical High Energy Physics group at Northeastern University in Boston has a
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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in the following five thematic areas: 1. Theme 1 (“Nowcasting”): Hybrid Physics-AI for Short-term Weather and Hydrologic Prediction Skillful predictions of weather and hydrology in the short-term (few
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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applied mathematics, mathematical biology, chemical engineering, biomedical engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and
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engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and simulation, with formal training or demonstrated experience in: Quantitative
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to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The Theoretical High Energy Physics group
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science