Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Spain
- Germany
- Poland
- Singapore
- Belgium
- Portugal
- Denmark
- United Arab Emirates
- Australia
- Netherlands
- China
- Canada
- Worldwide
- Austria
- Hong Kong
- Ireland
- Malta
- Romania
- Bulgaria
- India
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Croatia
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 28 more »
- « less
-
Field
-
Head and Neck cancer patients. This person will be working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national
-
this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Tuesday, 27th January 2026. Late applications will not be considered. Further information may be obtained from http://www.um.edu.mt
-
Aeromedical Evacuation (AE) medical crews. The goal of the project is to embed interactive software algorithms, derived from Aeromedical Evacuation Clinical Protocols (AECPs), directly into the provider's
-
-leading, diverse and UK-wide research programme in probabilistic AI. The hub will develop the next generation of mathematically-rigorous, scalable and uncertainty-aware AI algorithms. This will be achieved
-
Mechanics, University of Warsaw, Banacha 2, 02-097 Warsaw. Employee benefits: access to professional development, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl
-
can be found in the subsequent section. For the Fan lab, please visit https://fanlab.bme.umich.edu/. Prof. Fan can be reached by his email at xsfan@umich.edu Who We Are Michigan Engineers are world
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
-
scheduling algorithms for federated and serverless computing, extending Python-based workflow and Function-as-a-Service (FaaS) frameworks, or building services that enhance the interoperability and performance
-
programming languages like Fortran, Perl, HTML/CSS, and Python is helpful. Experience working with large data sets and complex statistical algorithms is strongly preferred. The applicant should be able to solve
-
(see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore the model design space for vision foundation models