Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Portugal
- Netherlands
- Spain
- Denmark
- Singapore
- Belgium
- Italy
- Switzerland
- Poland
- Czech
- Finland
- Morocco
- Canada
- Hong Kong
- Australia
- China
- Ireland
- Austria
- Luxembourg
- United Arab Emirates
- Japan
- Brazil
- Estonia
- Israel
- Lithuania
- South Africa
- Cyprus
- Romania
- Latvia
- Mexico
- Worldwide
- Greece
- India
- Malta
- Andorra
- New Zealand
- Saudi Arabia
- Taiwan
- Vietnam
- Bulgaria
- Croatia
- Macau
- Slovenia
- 39 more »
- « less
-
Program
-
Field
- Biology
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Science
- Materials Science
- Chemistry
- Mathematics
- Business
- Electrical Engineering
- Environment
- Earth Sciences
- Arts and Literature
- Humanities
- Education
- Physics
- Psychology
- Linguistics
- Law
- Philosophy
- Social Sciences
- Sports and Recreation
- Design
- 14 more »
- « less
-
approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
-
Argonne National Laboratory, HEP High Energy Physics Division Position ID: Argonne National Laboratory-HEP High Energy Physics Division-POSTDOCTORALAPPOINTEEAIMLANDATLAS [#31214, 421194] Position
-
accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
-
RSE) in the field of model and code development for the transformation and circularity in energy-intensive industries (steel, cement, and plastics) starting as soon as possible. The position is
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
analytical energy models and neuromorphic execution platforms developed within the e-BRAIN group, the work will investigate how temporal quantization, neuron dynamics, and architectural constraints influence
-
involving both modelers and experimentalists. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5253-MOUBEN-002/Default.aspx Work Location(s) Number of offers available1Company
-
the opportunity to contribute to internationally leading research shaping the future of energy storage. In this role, you will develop and apply continuum-level electrochemical models to better understand and
-
that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
-
data, and engineering models to determine why failures occur in complex machines such as heat pumps and chillers. You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be