Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
staff position within a Research Infrastructure? No Offer Description Implement algorithms for generating and evaluating synthetic data in Medical Imaging (Task T2.3) or Attribute Recognition in Images
-
Managers & Receive On-the-Spot Offers for selected candidates! The University of Miami/UHealth is hosting an in-person hiring event for the following positions: radiology, imaging, sonography, x-ray and
-
techniques improve human face identification accuracy? 2. How do SR-enhanced images affect machine-based facial recognition, and where do human and machine decisions diverge? 3. Do SR methods perform equitably
-
fixed organization and user fees as described on the homepage (https://www.umu.se/en/research/infrastructure/biochemical-imaging-centre-umea-bicu/). BICU is part of a distributed National Microscopy
-
, the applicant should also list three references with their contact information. https://jobs.apply.vt.edu/jobs/faculty-position-imaging-leader-virginia-tech-roanoke-virginia-virginia-united-states Virginia Tech
-
George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 9 days ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
-
enhancing low-quality facial images. However, there is little scientific evidence on whether these tools improve human accuracy, how they affect machine recognition, and whether they introduce demographic
-
Imaging Specialist designs, executes, and analyzes pre-clinical oncology imaging studies in mouse models to evaluate novel cancer therapies under industry-sponsored research agreements. The role develops
-
data integration data quality data analytics programming languages (SQL, Python, Java) Complementary IT skills: machine learning image recognition sensor technologies robotic technologies
-
. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a