Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- France
- Norway
- Spain
- Denmark
- Portugal
- Belgium
- Australia
- United Arab Emirates
- Switzerland
- Singapore
- Austria
- China
- Poland
- Canada
- Hong Kong
- Luxembourg
- Finland
- Vietnam
- Ireland
- Czech
- Morocco
- Romania
- Estonia
- India
- Italy
- New Zealand
- Andorra
- Brazil
- Croatia
- Lithuania
- Cyprus
- Greece
- Slovenia
- South Africa
- Ukraine
- Chile
- Japan
- Latvia
- Saudi Arabia
- Armenia
- Bulgaria
- Indonesia
- Israel
- Kenya
- Qatar
- Taiwan
- Worldwide
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Science
- Biology
- Mathematics
- Chemistry
- Arts and Literature
- Social Sciences
- Business
- Psychology
- Education
- Humanities
- Earth Sciences
- Environment
- Materials Science
- Electrical Engineering
- Linguistics
- Law
- Design
- Physics
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
through external grants or other mechanisms. External funding is also expected to support student research and experiential learning opportunities. The specific appointment split will be determined based
-
models, which are essential for understanding climate change impacts. The work involves reviewing existing modeling and model–data fusion techniques, and developing faster, machine-learning–based tools
-
imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
-
context. • Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate. • Develop documentation, codebooks, or tools to support reproducible research. • Lead
-
physical models. As the PhD researcher on this project, you will work at the intersection of machine learning, geometry processing and industrial simulation. You will have the opportunity to explore
-
biological environments - Experience using machine‑learning algorithms for luminescence signal analysis and sensing applications - Experience writing scientific articles and presenting results at conferences
-
, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database
-
, proteomics, metabolomics), Capacity to develop and/or apply : Statistical or mathematical models Machine learning / AI methods Systems biology modeling approaches Research position The fellow will conduct
-
to enroll in a PhD program Preference will be given to candidates with knowledge and skills in the following areas: machine learning and neural networks, including LSTMs and explainable artificial
-
. Demonstrated high level of achievement in related research productivity and academic writing. Technical skills in computer programming, algorithm development and deep learning model implementation, and practical