Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Portugal
- Sweden
- France
- United Kingdom
- Singapore
- Spain
- Netherlands
- Norway
- Italy
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Romania
- Luxembourg
- Canada
- Finland
- Estonia
- Ireland
- Austria
- China
- Hong Kong
- Japan
- Worldwide
- Greece
- Malta
- Morocco
- Switzerland
- Andorra
- Cyprus
- Czech
- India
- Lithuania
- Saudi Arabia
- Slovakia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Earth Sciences
- Linguistics
- Business
- Humanities
- Physics
- Psychology
- Social Sciences
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
-
exploratory analysis on large, multi-dimensional datasets; (b) develop predictive/diagnostic models and algorithms to lead and support clinical/translational research; (c) work with cross-functional teams
-
to achieve scalability in terms of the simulator systems. The work will be done in close collaboration with the physics team to be able to develop optimizations also at the algorithmic level in a co-design way
-
radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
-
interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science
-
, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
-
and autonomous systems, with an emphasis on autonomy in robotics and autonomous vehicles. This position will assist research teams in developing, implementing, and evaluating AI-based approaches
-
simulation software. Develop algorithms and techniques that reinvent signal understanding and processing. Collaborate closely with the tight-knit members that make up the Simulation Team and collaborate
-
of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well. The candidate’s work will entail the development and
-
the opportunity to conduct independent research and originate research topics over time Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and