Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Australia
- Singapore
- Canada
- France
- Austria
- Sweden
- Denmark
- Switzerland
- Spain
- Netherlands
- Poland
- Belgium
- China
- United Arab Emirates
- Hong Kong
- Italy
- Morocco
- Japan
- Portugal
- Egypt
- Norway
- Saudi Arabia
- Andorra
- Croatia
- Finland
- New Zealand
- Romania
- Slovenia
- South Africa
- 22 more »
- « less
-
Field
-
, commensurate with education and experience. Minimum Requirements: PhD in related field of study; Prior experience in computational research/developing mathematical algorithms. Preferred Qualifications: Special
-
Responsive Sensing and Analytics team specialises in developing efficient and scalable algorithms designed to equip emergency services with critical safety information and analytical insights. Leveraging
-
Responsive Sensing and Analytics team specialises in developing efficient and scalable algorithms designed to equip emergency services with critical safety information and analytical insights. Leveraging
-
, program, and service specific data to internal staff, clinicians, UMHS leaders, relevant committees, and other constituencies. Develop and maintain supporting documentation of measurement methods and
-
public Deliver analytic presentations (dashboards, reports, portal interfaces) of provider, product, program, and service specific data to internal staff, clinicians, UMHS leaders, relevant committees, and
-
, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate
-
development of resource algorithms for forecasting, and cross functional collaboration to provide a single source of truth for clinical trial resource demand and supply planning. What You’ll Do Resourcing
-
validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
-
This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
-
intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms