Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Norway
- Sweden
- Netherlands
- Denmark
- Portugal
- Germany
- Belgium
- Singapore
- Spain
- Ireland
- Poland
- Australia
- Estonia
- Finland
- Italy
- Canada
- Japan
- Switzerland
- Austria
- Czech
- Luxembourg
- Romania
- United Arab Emirates
- Andorra
- Barbados
- China
- Latvia
- Malta
- Saudi Arabia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Business
- Earth Sciences
- Mathematics
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Social Sciences
- Arts and Literature
- Education
- Law
- Psychology
- Philosophy
- Physics
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
-
applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
-
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
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
-
rapidly-updated archives of key weather observations; develop procedures for quality controlling these data archives; develop procedures for blending and interpolating in situ observations with remotely
-
Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
-
for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental
-
Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
-
understand and predict the behaviour, health and biodiversity of animals. Together, the PhD candidates strive for a better understanding of the ‘digital physiology’ of animals: how behaviour, , pathogens
-
the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images