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Field
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. Strong organizational skills and attention to detail, with the ability to manage multiple projects concurrently and ability to work independently and collaboratively. Does this position have supervisory
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, applying state-of-the-art sensing technologies and self-developed algorithms. Minimum Qualifications • Ph.D. in Mechanical or Industrial Engineering, and other fields that explore Artificial Intelligence
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University invites applications for multiple two-year postdoctoral positions beginning as early as Spring 2026, with the option to postpone the start date to Fall 2026. The position is renewable for a third
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significant independence in selection of their research directions within their departments and can acquire a breadth of expertise by working with multiple faculty members.We value building a culturally diverse
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documented by peer-reviewed publications. Ability to manage multiple projects and collaborations. Strong team player with excellent communication skills and fluency in English, both spoken and written
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
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fellow to investigate molecular mechanisms underlying lung infections (viral or fungal) and chronic lung diseases such as asthma. Research in the Chen lab is currently supported by multiple NIH R01 grants
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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms