Sort by
Refine Your Search
-
data-driven decision-making in clinical protocols. Research and Innovation Foster a robust research environment in transplantation, machine learning, and bioethics. Lead or collaborate on funded research
-
, registry data, health data, laboratory data, electronic health records, biomedical informatics standards. Working kowledge or direct experience in SCN8A-related disorders. Experience in machine learning
-
, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding U of A benefits include health, dental
-
Observatory, and LSST. Expertise in modeling cosmological observables through analytical methods or numerical simulations, machine learning, statistical inference, and data reduction is beneficial. As members
-
troubleshooting of equipment, instruments, and apparatus. **Overnight and weekend shifts will be required for this position.** William “Scott” Killgore, PhD, is a Professor of Psychiatry, Psychology, and
-
troubleshooting of equipment, instruments, and apparatus. ***Overnight and weekend shifts are required for this position. *** William “Scott” Killgore, PhD, is a Professor of Psychiatry, Psychology, and
-
Qualifications PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field. Must have PhD conferred upon hire. Preferred
-
Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA
-
the University of Arizona and relocations services, please click here . Duties & Responsibilities Instruct graduate and undergraduate students in field of expertise. Plan lectures and assignments. Grade assigned
-
equitable scholarly environment in research, mentoring, and service. Your work will focus on the SEAMLESS (SEmi-Automated Machine LEarning Search for Semi-resolved galaxies) survey, whose goal is to identify