Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Germany
- France
- Netherlands
- Sweden
- Spain
- Belgium
- Poland
- Denmark
- Norway
- Singapore
- Italy
- United Arab Emirates
- Australia
- Romania
- Morocco
- Switzerland
- Finland
- Luxembourg
- Czech
- Austria
- Lithuania
- Macau
- Canada
- China
- Brazil
- Estonia
- Ireland
- Japan
- Croatia
- Cyprus
- Greece
- Taiwan
- Andorra
- Hong Kong
- Israel
- Latvia
- Qatar
- Vietnam
- Worldwide
- Europe
- India
- Malta
- Mexico
- Sao Tome and Principe
- Saudi Arabia
- Slovenia
- 39 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Business
- Chemistry
- Environment
- Education
- Earth Sciences
- Electrical Engineering
- Arts and Literature
- Psychology
- Law
- Humanities
- Physics
- Social Sciences
- Linguistics
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
-
—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two
-
cortex, analyze neuronal population data, and build generative or predictive models to simulate cortical responses. The position requires strong experimental engagement and a collaborative mindset within a
-
innovation, is a leader in the digital world. We are looking for an Assistant/Associate Professor in multimodal generative AI models for audio to jointhe ADASP/Audio research group which is part of the Signal
-
a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
-
to conceptual hydrological models and assesses how improved natural flow simulations can support environmental flow regime (EFR) planning. The work will be carried out in collaboration with an experienced and