Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Spain
- Norway
- Singapore
- Italy
- Netherlands
- Denmark
- Belgium
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- China
- Hong Kong
- Ireland
- Canada
- Finland
- Austria
- Czech
- Japan
- Worldwide
- Bulgaria
- Cyprus
- Estonia
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Brazil
- Saudi Arabia
- Armenia
- Croatia
- Europe
- Israel
- Mexico
- New Zealand
- 35 more »
- « less
-
Program
-
Field
-
. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
-
. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and navigation data sets as a part of
-
. Job Description: Job Duties Lead the design, development, and implementation of novel machine learning and statistical algorithms to analyze "big" medical data. Develop and validate robust predictive
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Professor Positions to begin on or after July 1, 2026. We seek scholars with expertise in (1) Algorithms and Complexity Theory and (2) Bioinformatics and Computational Biology. We also welcome applications
-
to guarantee user-defined error bounds of reachable sets for nonlinear and hybrid systems. This project will exactly close this research gap: We will develop essentially new methods to ensure that algorithmic
-
their physical optics. At the University of Sheffield, we are rewriting the rules. Our “digital lens” approach fuses novel optical designs with powerful AI and sophisticated algorithms to build microscopes
-
across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
-
across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
-
, the assistant will preprocess raw omics data, conduct exploratory and multivariate analyses (e.g., PCA, CCA), and iterate on new algorithms for mutant detection and pathway discovery. The role is ideal for a