63 parallel-and-distributed-computing-phd Postdoctoral positions at Texas A&M University
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include: (1) solid-state sintering; (2) multi-component flows; in both topics, emphasis is on studying regularized phase-field models; (3) porous media flows, modeling and computations; (4) modeling
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teaching assistance as a guest lecturer. If you're ready to utilize your expertise and collaborate with a dynamic team, we invite you to apply. Minimum Required Qualifications Education: Appropriate PhD in
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cover letter and resume are strongly recommended Qualifications Required Education and Experience: Appropriate PhD in a related field Preferred Qualifications: Proven track record of coordinating/managing
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journals and through conference participation. Active participation in departmental and collaborative committees. Qualifications PhD in experimental particle physics A well-qualified candidate will also
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% Characterize the thermal energy distribution out of plasmonic nanoparticles coupled with photocatalyst using surface plasmon resonance (SPR) imaging, ultrafast pump-probe laser technique, frequency/time domain
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to collaborate and share among researchers and students. Host visiting speakers with engaging seminars and workshops. Publish results in peer-reviewed journals. Qualifications PhD in theoretical physics. A well
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Geophysics. Candidates should have a PhD in geology, geophysics or related field by the time of this appointment, be within 5 years of their PhD and have not held a permanent or tenured faculty position
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graduate students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
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students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
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reactions. The position is supported by the U.S. National Science Foundation (NSF), the Department of Energy (DOE) Basic Energy Sciences (BES) program, and TAMUS-National Laboratory Office (NLO) seed funding