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-development and refinement of conceptual models; devising management scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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) positions to start in September 2026 or earlier. Outstanding candidates in quantum information theory, quantum simulation, lattice gauge theory, fundamental physics, and quantum error correction, broadly
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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positions starting in Autumn 2026. The INT’s local research interests include QCD, lattice gauge theory, quantum computing, many-body theory and nuclear structure, nuclear astrophysics, effective field theory
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volcanism. Physical oceanography: analysis of surface gravity waves, infragravity waves, internal tides, and vortex-induced vibrations for estimating ocean current speeds. Acoustic ecology and ship noise
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Analytical Thinking, Collaboration, Communication, Computer Literacy, Data
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innovative science and hands-on fishing experience to improve tuna management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the
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scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief networks; etc.); and interpreting, communicating to broad