Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Portugal
- France
- Netherlands
- Norway
- Spain
- Denmark
- Canada
- Belgium
- Singapore
- Austria
- Australia
- Italy
- China
- Poland
- United Arab Emirates
- Finland
- Switzerland
- Czech
- Morocco
- India
- Luxembourg
- Romania
- Ireland
- Japan
- Hong Kong
- Estonia
- Brazil
- Greece
- Macau
- New Zealand
- South Africa
- Latvia
- Slovakia
- Cyprus
- Lithuania
- Andorra
- Croatia
- Iceland
- Kyrgyzstan
- Mexico
- Slovenia
- Vietnam
- Worldwide
- Bulgaria
- Europe
- Malta
- Saudi Arabia
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Education
- Mathematics
- Psychology
- Materials Science
- Social Sciences
- Chemistry
- Arts and Literature
- Environment
- Law
- Humanities
- Linguistics
- Earth Sciences
- Sports and Recreation
- Electrical Engineering
- Philosophy
- Physics
- Design
- 14 more »
- « less
-
and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct algorithm-hardware co
-
… Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications Solid knowledge of statistics and data analysis, marketing, strategy, consumer behavior, market research, modeling
-
FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications Solid knowledge of statistics and data analysis, marketing, strategy, consumer behavior, market research, modeling of economic phenomena, probabilistic
-
potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
-
%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
-
Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines
-
year of the 1976 drought, we are excited to launch this new opportunity for a Research Assistant or Research Associate in Water Resources Modelling to join us in the School of Engineering. The project is
-
on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
-
illumination variations, which introduce non-stationary shifts and degrade the performance of conventional models. The project proposes the use of hypernetworks to dynamically adapt the parameters of the gaze
-
, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data