Sort by
Refine Your Search
-
Required Application Materials: Timeline: Application Deadline: April 3, 2025 Selections to be made by May 2025. This is a 1-year appointment starting Fall 2025. (Applicants advancing in the review process
-
, electrical engineering, experimental physics, or a related field Strong programming and signal processing skills, with experience in Python and/or MATLAB Demonstrated ability to work independently and
-
external) How to Submit Application Materials: To begin the application process, please send an email using the subject line “Postdoctoral Position in Machine Learning for Advancing Mental Health” to Tina
-
is $76,383. The Water & Energy Efficiency for the Environment Lab (WE3Lab) seeks an entrepreneurial Postdoctoral Scholar with a vision for the coordinated operation of water and electricity grids
-
cloud computing tools and big data workflows A track record of completed research projects Well-written, peer-reviewed papers are expected Interest in using EHR metadata, wearable sensors, and process
-
research experience. Research track record should be demonstrated via prior publications in relevant venues in psychology, cognitive science, education, or human-computer interaction. Knowledge and expertise
-
language processing (NLP) to augment clinical decision-making and expand access to high-quality healthcare. Our lab develops new methods to improve model trustworthiness and leverages heterogeneous clinical data
-
the interview process. Mentorship Structure The postdoctoral fellow will be supervised by Prof. Sarah Fletcher and will collaborate with other members of the lab. Mentorship of the postdoctoral fellow will be
-
(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
-
large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes