Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- Sweden
- United Kingdom
- Germany
- Norway
- Australia
- Denmark
- France
- Belgium
- Singapore
- Spain
- Luxembourg
- Finland
- United Arab Emirates
- Hong Kong
- Switzerland
- Vietnam
- Morocco
- Portugal
- Canada
- China
- Cyprus
- Italy
- Estonia
- Poland
- Czech
- Romania
- Lithuania
- Austria
- Ireland
- Saudi Arabia
- Greece
- India
- New Zealand
- South Africa
- Taiwan
- Worldwide
- Germany / Finland
- Japan
- Kyrgyzstan
- Macau
- Malta
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Science
- Biology
- Business
- Mathematics
- Materials Science
- Arts and Literature
- Chemistry
- Environment
- Earth Sciences
- Education
- Electrical Engineering
- Psychology
- Design
- Humanities
- Linguistics
- Philosophy
- Social Sciences
- Law
- Physics
- Sports and Recreation
- 14 more »
- « less
-
of interest include, but are not limited to: foundational AI models for genetic, multi-omic, imaging, and EHR data; multimodal AI approaches enabling precision diagnostics and therapeutics; and generative AI
-
models for genetic, multi-omic, imaging, and EHR data; multimodal AI approaches enabling precision diagnostics and therapeutics; and generative AI for biomolecule engineering and design. AI researchers who
-
), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out
-
attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
-
: The Smart Manufacturing & AI Systems Engineer (KTP Associate) will work on: Data acquisition pipelines and IoT sensor integration Building machine learning models for forecasting, optimisation, and automated
-
applied science and engineering disciplines. Mines maintains high-quality, well-funded research programs (~$106M in awards for fiscal year 2024) with strong participation from both graduate and
-
business driven innovative professional with entrepreneurial and/or technological experience in at least one of the following areas: entrepreneurial principles, new ventures, business models, innovation
-
modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
-
model-based and knowledge-driven framework for the analysis of complex manufacturing and intralogistics systems, such as highly automated factories and warehouses with autonomous components like automated
-
is passionate about shaping the future workforce in advanced and technology-driven construction sectors We are particularly interested in candidates with experience or research interests in areas