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management skills Knowledge of Microsoft Office Suite Ability to work independently and as part of a team to meet expected deadlines and schedules Attention to detail Ability to develop program partnerships
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Rice University, Computational Applied Mathematics and Operations Research Position ID: Rice_CMOR-PDRTG26 [#27041, RICE_CMOR] Position Title: Position Type: Postdoctoral Position Location: Houston
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The Department of Statistics at Rice University in the George R. Brown School of Engineering and Computing, located in the heart of Houston, TX, invites applications for one faculty position at either the tenure
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Rice Synthetic Biology Institute (RSBI) and the graduate program in Systems, Synthetic and Physical Biology. The selected candidate will be expected to teach and develop undergraduate and graduate
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for performance, cost, and reliability Contribute to code reviews, documentation, and team best practices Preferences Master's in Computer Science, Software Engineering, Computer Engineering, or a related field
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candidate would bring an integrative approach, possibly leveraging computational, genomic, or quantitative tools, and/or integrating theoretical approaches, in any system (animal, plant, microbial
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on multiple tasks and deadlines. The Rice School of Architecture is a uniquely sized, top-ranked program with a focus on design excellence, including exceptional student work, world-class faculty research, and
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into commercially viable products and services for patient care Preferences: Master's in Computer Science, Software Engineering, Computer Engineering, or a related field Lead collaborations with external partners
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contingency plans, and handling issues when necessary Strong client service orientation and attention to detail Ability to develop complex or multiple program partnerships and funding sources Ability to oversee
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QUANTITATIVE METHODS and is part of a cluster hire across the School of Social Sciences. The specialty area should be in human factors/human-computer interaction (HF/HCI), industrial-organizational psychology