Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
-
applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
-
disease. In this position, the incumbent will perform the following duties, but is not limited to: 1) High-performance computing workflow for large-scale metabolomics data analysis 2) Development of deep
-
developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
-
Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
-
, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
-
, including algorithms, complexity, cryptography, and logic. The candidate's qualifications, experience and overall market demand will determine a candidate’s final salary offer. The salary for this position
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
, which is undergoing rapid development. The successful candidate will play an integral role in delivering high-quality undergraduate education and contributing to academic service, including curriculum
-
arrangements. Encourage the industrial and academic partners to use UBC’s IntelCut machine tool monitoring system to transfer research algorithms to industry. The engineering activities of IntelCut will be
-
will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets