12 algorithm-sensor-"Prof" Postdoctoral positions at Pennsylvania State University in United States
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Romit Maulik in the College of Information Sciences and Technology (IST) at the University Park campus seeks applicants for a postdoctoral scholar in
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of the following: quantum field theory, quantum information, out-of-equilibrium dynamics, theoretical cosmology, particle physics, gravity, or quantum algorithms. Candidates are expected to demonstrate
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Bill Bahnfleth and Assoc. Prof. Greg Pavlak are seeking a self-motivated, highly skilled Postdoctoral Scholar to work on funded research in the area of
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. The successful candidate will work with Prof. Zhiqiang Mao on a quantum materials research program focused on the discovery and synthesis of novel quantum materials, including magnetic topological materials and
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. The successful candidate will work with Prof. Yinming Shao on a quantum materials research program focused on the optical studies of novel quantum matter, including topological materials and magnetic
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) Names and Contact information for three references. Review of applications will begin immediately and continue until the position is filled. Informal inquiries about this search may be directed to Prof
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and Contact information for three references. Review of applications will begin immediately and continue until the position is filled. Informal enquiries about this search may be directed to Prof
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of funding. POSITION SPECIFICS The laboratory of Prof. Manuel Llinás at The Pennsylvania State University seeks an outstanding postdoctoral scholar to work on projects related to transcriptional regulation
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relationships; medical and community partnerships; and real time ecological momentary assessment of health via data from sensors, accelerometers, and smartphone technology. The successful candidate will join a
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks