Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
in linking developmental factors with aging-related processes. Extensive experience with both structural and functional brain imaging (MRI), with publications connecting MRI-derived measures
-
the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
-
cognition with the application and development of advanced methods in neuroscience and neuropsychology. Methods for brain-imaging and brain stimulation are employed to understand, predict, and change human
-
28 Oct 2025 Job Information Organisation/Company Norwegian University of Life Sciences (NMBU) Research Field Engineering Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2
-
for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
-
the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
-
3 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Language and Literature Research Field Language sciences » Linguistics
-
allows for studying language behaviour (time-course and quantity of gaze/eye-movements), neuro-physiology of language processing in the brain and neuro-imaging (https://www.ntnu.edu/langdevlab#/view
-
the late Quaternary and beyond. Our methodological focus has been on identifying and characterizing non-thermal factors or processes that potentially affect a) the initial water density when the inclusions
-
practices. The findings will serve as the empirical foundation for the security framework. Defensive Strategies: Propose and prototype new defensive architectures and techniques that can be integrated