12 computer-algorithm-"UNIS" Postdoctoral research jobs at University of Houston Central Campus in United States
Sort by
Refine Your Search
-
Department: Computer Science Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
-
qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
-
supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities: -Develop and implement advanced numerical algorithms and deep learning
-
and sets up experiments in hybrid research environment. 2. Researches artificial intelligence/machine learning algorithms, database design, deep learning, big data, and cloud computing. 3. Publishes
-
algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
-
experimentalists and theorists. Essential Duties and Responsibilities: • Perform Resonant Inelastic X-Ray Scattering synchrotron experiments in the LCLS-II qRIXS Early Science program • Perform photo-luminescence
-
of Information Science Technology (IST) at the Cullen College of Engineering, is seeking motivated and talented post-doctoral researchers to join our team. Our lab focuses on addressing critical security challenges
-
strong analytical and computational skills, and (4) have excellent communication, presentation, and interpersonal skills. Required Files: Curriculum Vitae (with links to publications) and a Short (< 1 page
-
or her research program in public policy, preferably with applications to the public policy dimensions of the energy transition, climate change, or circular economy. The postdoctoral fellow will also
-
design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key