Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Portugal
- Sweden
- Belgium
- Netherlands
- Spain
- Poland
- Italy
- United Arab Emirates
- Denmark
- Norway
- Singapore
- Austria
- Luxembourg
- Switzerland
- Australia
- Czech
- Romania
- China
- Morocco
- Estonia
- Finland
- Hong Kong
- Japan
- Croatia
- South Africa
- Taiwan
- Brazil
- Canada
- Ireland
- Bulgaria
- Greece
- Israel
- Lithuania
- Mexico
- New Zealand
- Sao Tome and Principe
- Saudi Arabia
- 31 more »
- « less
-
Program
-
Field
-
. The specific goal of this internship is to develop and validate a 3D phase-field model capable of describing: The early stages of martensitic transformation in RHEAs. The growth and interaction of martensitic
-
Institut Jean Lamour - CNRS - Université de Lorraine | Nancy, Lorraine | France | about 2 months ago
the existing model to include plastic relaxation of the β matrix. Calibrate input parameters (lattice constants, elastic constants, free energies, yield stresses, etc.) from literature data. Perform numerical
-
and apply advanced analytical frameworks--including geospatial statistics, machine learning tools, air quality modeling, and source apportionment techniques--to interpret air pollution observations and
-
Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
-
, through both experimental measurements to be carried out with different techniques, and vibro-acoustic numerical modelling. The aim of the research is to i) identify noise sources ii) define and test
-
seek researchers to engage in: - Modeling-based analysis of groundwater flow and material dynamics in the Kumamoto region - Numerical analysis of water cycle variability using hydrological and
-
turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic
-
: Apply and develop a numerical model in Python for the transport of marine litter particles in coastal areas. Write scientific reports. Perform forecast of particles dispersion. Collaborate in project
-
. Experience in integrated modelling simulations would help. Experience in numerics: use of parallelised codes, programming (Fortran/C), use of analysis tools like Matlab or Python Website for additional job
-
for trainees and staff. The ideal candidate will be an accomplished leader who models the highest standards of professionalism and integrity, has the vision to support and expand an existing interdisciplinary