13 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions at Northeastern University in United States
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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. Postdocs also have opportunities to work with Northeastern’s centers for student and faculty advancement, including the Writing Center, PhD Network, Digital Integration Teaching Initiative, Center
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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to disseminate research results QUALIFICATIONS Applicants must have (or be about to receive) a PhD in physics, biophysics, systems biology, applied mathematics, bioengineering, chemistry, chemical engineering, or
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conduct grant research; as normally acquired through a PhD in structural engineering or architecture with a focus in computation. Key Responsibilities & Accountabilities (40%) Work with supervisor
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academic year or shortly thereafter. A PhD degree must be already awarded by the time the position begins. This position will remain open until the it is filled. Qualifications: Required : Must possess a
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying