Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Business
- Chemistry
- Linguistics
- Environment
- Psychology
- Arts and Literature
- Electrical Engineering
- Physics
- Social Sciences
- Education
- Humanities
- Law
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
, https://ibis.dtu.dk ) and contribute to building a world-class research hub focused on advancing microbial solutions for a sustainable future. DTU Bioengineering is excited to announce a 4-year
-
27 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Other Mathematics » Applied
-
more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the United States on an ongoing, full-time
-
Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas
-
focus on AI and machine learning and should be able to design and validate advanced control strategies for grid-forming inverters, apply AI and machine learning to battery health prediction, and
-
of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
-
SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
microstructure evolution during extrusion is critical for controlling final mechanical properties and surface appearance of extruded profiles, yet quantitative predictions remain challenging due to the complexity
-
Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and
-
statistics, with preference given to those with a strong basis in process control, reliability, 6-Sigma (Black Belt or Master Black Belt preferred), the theory of machine learning, and artificial intelligence
-
statistical methods. Supported by the ARPA-E TEOSYNTE and CERCA projects, this position is part of a national effort to improve nitrogen use efficiency on farms by modifying genetic pathways that control root