Sort by
Refine Your Search
-
, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
-
-for-medical-image-analysis Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster Degree
-
). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
-
implementation of reconstruction algorithms and image processing pipelines. Experience with experimental optical systems, including optical alignment, calibration, and performance evaluation. Experience in
-
Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
-
. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
-
Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo
-
address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis involves tightly coupled cellular dynamics, mechanical forces, and gene regulation
-
8 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Clinical and Molecular Medicine Research Field Medical sciences
-
communications, metrology, environmental and medical sensing and imaging, and for applications in fundamental sciences such as laser spectroscopy. Establishing a new paradigm for continuous- and travelling-wave