Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Norway
- France
- Australia
- Belgium
- Germany
- Netherlands
- Denmark
- Singapore
- Spain
- Luxembourg
- Portugal
- Italy
- Finland
- Switzerland
- Canada
- Cyprus
- Ireland
- Austria
- Hong Kong
- China
- Morocco
- United Arab Emirates
- Japan
- Latvia
- Poland
- Saudi Arabia
- Czech
- Estonia
- Vietnam
- India
- Lithuania
- Macau
- Romania
- Andorra
- Armenia
- Bangladesh
- Croatia
- Kyrgyzstan
- Malta
- Mexico
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Biology
- Science
- Business
- Materials Science
- Environment
- Mathematics
- Arts and Literature
- Electrical Engineering
- Education
- Chemistry
- Earth Sciences
- Psychology
- Humanities
- Social Sciences
- Linguistics
- Law
- Philosophy
- Physics
- Design
- Sports and Recreation
- 14 more »
- « less
-
on the modelling of transmission dynamics and risk assessment of mosquito-borne arboviruses with the potential to invade the EU. Addressing this challenge requires an interdisciplinary approach, combining
-
, Industrial Engineering, or a closely related quantitative discipline. • Demonstrated research expertise and strong publication record in Generative AI, VLMs and/or VLA models, and their applications in
-
applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
-
to develop an aeromedical dispatch management software as a technology hub that provides data-driven prediction model and an automated dynamic decision model. The successful candidate will be responsible
-
. As such, activity-driven changes in synapse nanostructure can thus drive adaptive changes in synaptic strength. This project aims to resolve how heterogeneity in molecular nanostructure shapes
-
switching in corresponding devices. In this project, we first plan to make optimized engineering of metal stacking involving light elements promoting the required orbital polarization and demonstrate
-
lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs
-
over the university. Individuals in this position are required to be flexible, self-driven, and willing to work in a team environment. Student Technology Specialist will need strong written and verbal
-
models and project standards. You will develop a coherent, structured approach to prioritisation and build a delivery capability that accelerates outcomes for Manchester’s researchers, improves consistency
-
is seeking a dynamic, driven, and curious Research Technician to join our group. We are funded by the Howard Hughes Medical Institute (HHMI), a biomedical research organization that supports academic