Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- France
- Germany
- Sweden
- Spain
- Belgium
- Denmark
- Norway
- Italy
- Singapore
- Australia
- Morocco
- Finland
- Switzerland
- Czech
- Poland
- United Arab Emirates
- China
- Ireland
- Canada
- Austria
- Romania
- Luxembourg
- Estonia
- Japan
- Brazil
- Hong Kong
- Vietnam
- Andorra
- Bulgaria
- Croatia
- Greece
- Lithuania
- Malta
- Saudi Arabia
- Slovenia
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Chemistry
- Business
- Psychology
- Humanities
- Linguistics
- Physics
- Arts and Literature
- Electrical Engineering
- Law
- Education
- Social Sciences
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
-
oxide ores of varying quality and mineral associations. Research will focus on process design and analysis with a strong emphasis on ore characterization. At a later stage, predictive models for size
-
of varying quality and mineral associations. Research will focus on process design and analysis with a strong emphasis on ore characterization. At a later stage, predictive models for size reduction and
-
& Budget Strategy Institutional Analytics & Decision Support Policy, Planning & State Operations University Business Services The Modeler supports the University’s strategic, financial, and operational
-
to advance predictive modeling frameworks for soft, rate-dependent materials under complex thermo-mechanical loading conditions. The research will involve close integration of analytical constitutive modeling
-
comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
-
derived spheroids Develop predictive model of drug response by comparing 2D to 3D cellular systems Testing and validating the relevance of such models in patient tumour specimens Support and preparation
-
transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
-
believe that generative pre-training offers a promising path to a new class of models that work across settings and can support prediction of many different clinical outcomes at once. To fuel your models
-
wide variety of translational neuroscience research programmes. The focus of the role will be analysis of large clinical datasets from PRECISION-ALS (n~20,000) and PRO-ACE to develop prediction models