Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Australia
- Singapore
- Canada
- France
- Spain
- Austria
- Switzerland
- Sweden
- Netherlands
- Belgium
- Denmark
- Poland
- Morocco
- Japan
- Italy
- United Arab Emirates
- Finland
- Hong Kong
- Malta
- Portugal
- China
- New Zealand
- Egypt
- Saudi Arabia
- Andorra
- Croatia
- Czech
- Greece
- Norway
- Armenia
- Brazil
- Estonia
- Luxembourg
- Romania
- Slovenia
- South Africa
- 29 more »
- « less
-
Program
-
Field
-
varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis. Our research environment is deeply collaborative
-
, computer science, statistics, and their scientific applications, with the lines between theory, algorithm development and software implementation often blurred. Thus, a major goal of CCM is to develop the next
-
, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
-
interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial intelligence / operations research. You are a team player with excellent social
-
for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
-
researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want
-
to express complex domain knowledge in a formal yet flexible manner, and (2) design AI approaches such as learning algorithms and reasoning engines that can exploit the provided knowledge? The successful
-
new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised
-
algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
-
-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply. JOB LOCATION AND SCHEDULE