Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Portugal
- United Kingdom
- Sweden
- Norway
- Poland
- Austria
- Belgium
- Spain
- United Arab Emirates
- Luxembourg
- Netherlands
- Denmark
- Singapore
- Switzerland
- Estonia
- Italy
- Japan
- Czech
- Australia
- Canada
- Finland
- Romania
- Saudi Arabia
- Hong Kong
- Ireland
- Andorra
- Armenia
- Brazil
- China
- Croatia
- Iceland
- Morocco
- Taiwan
- Uzbekistan
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Mathematics
- Science
- Biology
- Materials Science
- Law
- Business
- Chemistry
- Education
- Environment
- Social Sciences
- Physics
- Psychology
- Earth Sciences
- Linguistics
- Arts and Literature
- Electrical Engineering
- Sports and Recreation
- Humanities
- Philosophy
- 13 more »
- « less
-
research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
-
: Numerical modelling, Geotechnics, Finite Element Method (FEM), Research and development projects, Scientific achievements DESCRIPTION (subject-matter, expectations, remarks): Requirements for Candidate: PhD
-
particular, it should relate to one or more of the following areas: theory for spatial discretisations of PDEs, analysis and design of domain decomposition methods, numerical analysis for stochastic PDEs
-
to the design, implementation, and scientific exploitation of numerous satellite missions. CESBIO is a Unité Mixte de Recherche (Joint Research Unit) bringing together the CNES, CNRS, IRD, and the University
-
Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
-
mechanics and materials mechanics - Strong interest in multiscale and multiphysics modeling - Knowledge of numerical methods and finite element analysis - Interest in hybrid physics–data approaches and
-
computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 17 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
-
Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese
-
optical and photoacoustic nanoscopy methods for biomedical applications and study of underlying physical phenomena Experimental and numerical study of light-sound-matter interactions Participation in