Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Norway
- Portugal
- Netherlands
- Germany
- Spain
- Switzerland
- Denmark
- Poland
- Belgium
- Japan
- Singapore
- Australia
- Austria
- Italy
- Romania
- Canada
- China
- Finland
- Hong Kong
- Luxembourg
- Morocco
- Armenia
- Brazil
- Czech
- Estonia
- Ireland
- Lithuania
- Macau
- Taiwan
- Vietnam
- Worldwide
- 25 more »
- « less
-
Program
-
Field
-
fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned research institute and school of advanced studies
-
) A PhD in a related discipline, and/or relevant work experience. Experience in at least two of the following areas: engineering design, thermodynamics calculations, heat transfer, fluid flow, radiation
-
. The candidate will use discrete adjoint libraries in OpenFOAM to improve turbulence modelling of environmental flows. There will also be opportunities to get involved in other projects in experimental fluid
-
. This one-year Research Assistant position is part of a project aimed at advancing the modelling and simulation of landslides and debris flows using state-of-the-art continuum fluid dynamics approaches
-
-liquid critical point. The dynamic nature of the degree of miscibility renders such fluid pairs to be applicable in several applications such as liquid-liquid mass transfer, flow pattern tuning to name a
-
objectives. Research activities span novel and alternative working fluids, single- and multi-phase flow phenomena, and thermal processes relevant to low-carbon energy technologies. Current research focuses
-
capability in the field of thermal fluid engineering is being sought. https://www.toyota-ti.ac.jp/research/laboratory/post-42.html [Work content and job description] (Immediately after appointment) ・Promoting
-
Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
-
smart is AI currently and how intelligent will it become?”. However, we do not know because current methods for evaluating intelligence in people are not suitable for AI and vice versa due to inherent
-
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply