Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- Portugal
- United Kingdom
- Italy
- Norway
- Singapore
- Spain
- Netherlands
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Ireland
- Canada
- China
- Estonia
- Czech
- Hong Kong
- Worldwide
- Austria
- Finland
- Japan
- Malta
- Greece
- India
- Morocco
- Switzerland
- Andorra
- Bulgaria
- Cyprus
- 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
- Humanities
- Business
- Social Sciences
- Physics
- Psychology
- Philosophy
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
of the observation receiver used to measure the transmitter output and extract distortion information. This position is part of the ERC Synergy DISRUPT project, which aims to develop new architectures for observing
-
figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
-
as of the 01.04.2026 at the following conditions: 50% = 19,92 hours Pay grade 13 TV-L limited by 31.03.2029 Your tasks: Development of architectures and algorithms for adaptation of time-triggered
-
databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation of the work performed. 4. REQUIRED PROFILE: Admission requirements: Bachelor’s
-
to multidisciplinary project teams, and develop broader research and engineering skills through mentorship and project-based experience. As New Mexico’s flagship R1 research university, UNM offers a collaborative and
-
growth. Develops innovative solutions and novel approaches to space systems challenges, including new communication architectures, radiation mitigation strategies, advanced control algorithms
-
algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research group's efforts in modeling combustion-generated aerosols. These modeling framework will be used to understand
-
Projection Chambers used in the Deep Underground Neutrino Experiment. This work involves parsing the simulated data to extract and analyze the information necessary to develop an algorithm to determine the
-
machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
-
machine learning methodologies, develop algorithms for health monitoring and patient clinical outcome prediction, and address ethical considerations. The role also requires attending weekly meetings, report