Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
UiO/Anders Lien 28th February 2025 Languages English English English PhD Research Fellow in Deep learning on image data for subsurface imaging Apply for this job See advertisement About the position
-
Research Fellow in Deep learning on image data for subsurface imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department
-
UiO/Anders Lien 28th February 2025 Languages English English English PhD Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Two (2) positions as PhD
-
Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Two (2) positions as PhD Research Fellow in machine learning available at the Department for Informatics
-
Agreement number 101125383). The successful candidate will join a multi-disciplinary research team, with primary responsibilities related to imaging and examination of medieval polychromed objects in museums
-
available at the Institute of Clinical Medicine at University of Oslo, as part of the research project BRAINGAP, which seeks to uncover the genetic architecture of brain imaging phenotypes. The research is
-
, transcriptomics, antibody assays, and advanced 3D microscopy. For this, a lightsheet microscope dedicated to the imaging of cleared samples is being acquired, as well as a workstation for VR-assisted image analysis
-
magnetic resonance imaging (MRI) and electroencephalography (EEG) data, as well as clinical variables from 80 individuals with FND. These will be compared with already collected data from ~800 healthy
-
electron microscopy (SEM and TEM) techniques applied to geological materials (e.g., EBSD, FIB-SEM, EDS, STEM imaging) Computational skills (e.g. Matlab, Python) Previous experience, at the PhD level, in one
-
adipogenesis as a paradigm to uncover new molecular pathways by which SUMOylation sustains epigenetic and transcriptional identity during cell differentiation. We expect to contribute to a broader understanding