Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Spain
- Singapore
- Norway
- 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
-
situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
-
databases of more than 1 million records and nationwide hospital data sets for use in health services research and quality analyses. Create analytic files. Develop the standard statistical algorithms
-
or computer science, or a related discipline (or equivalent experience). A doctoral level qualification involving methodologies deploying advanced statistical, mathematical or algorithmic techniques, or directly
-
harmonization, uncertainty characterization of existing metrics, algorithmic improvement for ET and GPP products, development of novel remote sensing products. Leveraging remote sensing for societally relevant
-
new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
-
14 Jan 2026 Job Information Organisation/Company INRAE Department MathNum Research Field Computer science » Other Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions
-
information at https://www.cs.pitt.edu/ . About the Positions Appointment Stream (Teaching Assistant Professor, Department of Computer Science, #27041) Appointment Stream (Teaching Assistant Professor
-
of Chicago. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/. Job Summary The Research Professional will report to an BFI-affiliated faculty member at
-
transport models known as MILES and MATRA, with the deployment of these algorithms allowing the team to model future green infrastructure, testing different decarbonisation solutions and analysing the effect
-
projects, including the flagship EXCELSIOR H2020 Teaming Project (https://excelsior2020.eu/ ), as well as DIGIFARM, NOSTRADAMUS, CERBERUS, and CARBONICA. ERATOSTHENES Centre of Excellence is an autonomous