Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
interested in digital mental health research. We are looking for individuals with a strong commitment to data-driven digital assessment, monitoring, and treatment of serious mental illness. Individuals with
-
staff member or department Provide information and advice to building users regarding effective use of building facilities, including room capabilities, capacity, and availability Check out and check in
-
solutions that assist in storage, investigation and dissemination of large data sets. 70%. Works with research team to develop new algorithms to support studies. 20%. Assists with reporting of methods, data
-
, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including
-
skills and comfort with large data sets. Self-starter with strong judgment, critical thinking skills, and problem-solving abilities. Quick learner with the ability to work in ambiguous situations
-
that involves human subjects and aims to examine substance use and sleep behaviors among college students. Responsibilities Managing measures/data Assist with custom programming/editing web-based surveys. Work
-
Information Technology (UW-IT) supports that mission by delivering the technology that powers academics, research, healthcare, and operations across all three UW campuses and around the world. UW-IT’s Data & Applications
-
of a large, complex department of 15 clinical division with both inpatient and outpatient coding and coding review involved. Demonstrated excellence in the areas of ensuring coders are coding with
-
paper preparation. - 5% surgical preparations including implantation of head plates, craniotomies - 20% data collection including large scale recording with widefield imaging and with neuropixels
-
. Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical