Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- France
- United Kingdom
- Germany
- Sweden
- Norway
- Netherlands
- Poland
- Spain
- Singapore
- Denmark
- Belgium
- Italy
- Australia
- Finland
- United Arab Emirates
- Austria
- Ireland
- Luxembourg
- Switzerland
- Morocco
- Romania
- Czech
- Japan
- Canada
- China
- Estonia
- Latvia
- Brazil
- Greece
- Lithuania
- Croatia
- Cyprus
- Hong Kong
- Israel
- Andorra
- Iceland
- Mexico
- Slovakia
- Taiwan
- Vietnam
- Europe
- India
- Malta
- Sao Tome and Principe
- Saudi Arabia
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Science
- Biology
- Materials Science
- Mathematics
- Business
- Chemistry
- Education
- Psychology
- Electrical Engineering
- Earth Sciences
- Environment
- Law
- Arts and Literature
- Humanities
- Physics
- Linguistics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
related discipline. A passion for experimental work and capability to develop/apply mathematical modelling techniques will be particularly important for this project. Where to apply Website https
-
Details The aim of this project is to combine nanomechanical methods with modelling (i) to develop quantitative, predictive models for the behaviour of molecules in sliding contacts, and (ii) to understand
-
include data review and gap analysis, decomposition and simulation modelling using tools such as LEAP Ireland, and supporting the design, testing, and validation of policy-relevant indicators and sectoral
-
loadings. It combines experimental data, finite element simulations, and probabilistic models. Results depicted on Fig. 1 and Fig. 2 show high extrapolation and interpolation capabilities of the obtained
-
be responsible for developing, automating and optimizing data acquisition and analysis workflows for experimental datasets. The candidate will work on the following tasks: Simulation and modeling
-
Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine
-
in data analysis, mathematical modeling/computer simulation, and best practices in rigorous and reproducible science. The appointee will play a central role in developing, evaluating, and refining
-
engineering practices. Oversee and define complex computer models and simulations to evaluate engineering concepts, verify designs meet performance and interface requirements, and propose approaches and
-
policy. Dr. Kang’s research laboratory is focused in personalized testing pathways, translation of diagnostic innovations, and cancer screening. We develop predictive models, simulation frameworks, and AI
-
reliably stratify patients based on their fracture risk. The position is funded as part of Horizon 2020 European Project (https://www.metastraproject.eu/ ) that aims to provide a combination of models