Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- Sweden
- Germany
- Spain
- France
- Norway
- Denmark
- Belgium
- Singapore
- Poland
- United Arab Emirates
- Canada
- Australia
- Italy
- Austria
- China
- Switzerland
- Morocco
- Finland
- Macau
- Czech
- Luxembourg
- Romania
- Ireland
- Hong Kong
- Lithuania
- Brazil
- India
- Japan
- New Zealand
- Croatia
- Estonia
- South Africa
- Greece
- Cyprus
- Vietnam
- Worldwide
- Andorra
- Malta
- Bulgaria
- Europe
- Kenya
- Malaysia
- Mexico
- Slovenia
- Germany / Finland
- Kyrgyzstan
- Latvia
- Saudi Arabia
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Psychology
- Education
- Materials Science
- Chemistry
- Arts and Literature
- Humanities
- Social Sciences
- Environment
- Earth Sciences
- Linguistics
- Law
- Sports and Recreation
- Electrical Engineering
- Philosophy
- Design
- Physics
- Statistics
- 15 more »
- « less
-
laboratory animals (mice). Suitable applicants should: Possess strong knowledge of animal models of stress and anxiety. Have solid experience in molecular biology techniques, including DNA/RNA extraction, qPCR
-
Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
-
maps. Knowledge graphs can be used to model these transformations and to link geodata sources to questions. In this project we will apply symbolic and sub-symbolic AI methods to scale this up across
-
Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
-
of organizational activities down to the operational level. Indicators are modeled, measured, and synthesized into simplified visual representations, inspired by the UN's circle-and-arrow system, to assess positive
-
Research Software Engineer. This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b
-
Functional Theory (DFT), machine-learned force fields (MLFF), graph neural networks (GNNs), or large language models (LLMs). Extensive Knowledge In: • First-principles atomistic simulations with packages
-
of transcriptomics of pancreatic cancer cells, under the leadership of the project manager. The analysis includes cell culture, gene expression analysis, histology and working with animal models. The work duties also
-
, Model-X methods require exact knowledge of conditional distributions, and permutation tests fail in high dimensions. Kernel methods offer a more flexible alternative via the partial covariance operator
-
models, and mouse models of cancer biology and immunotherapy, while continuing to develop novel technologies. Our ultimate goal is to improve the lives of cancer patients through innovation. The successful