12 modelling-complexity-geocomputation Fellowship positions at University of Texas at Austin
Sort by
Refine Your Search
-
of hire. Preferred Qualifications Strong data science skills and demonstrated research experience in analyzing data, such as output from regional-scale hydroclimatic models and hydrologic models related
-
Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
-
models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
-
, led by Prof. Mrinal Sen, engaged in cutting edge research on solving subsurface imaging problems using advanced techniques of full waveform modeling, inversion and uncertainty quantification. The team
-
leading Local Mental Health Authority in the State of Texas, Integral Care is Joint Commission accredited and prides itself on continually advancing services, primary care integration, and developing model
-
multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films. Collaborate with experimental groups on characterization
-
transfer, fluid mechanics, and interfacial sciences. Experience with experiments and modeling (traditional CFD modeling). Experience with finite element analysis and/or software packages like Comsol or ANSYS
-
Medical School is focused on the development of new models for healthcare delivery, promotion of health, and innovation. The Department of Ophthalmology and the MSWEI seek to recruit dynamic, academically
-
numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely
-
skills. Preferred Qualifications Experience convening and leading a complex, multi-faceted research effort with multiple stakeholders. Experience with public presentations in a non-academic environment