Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- Norway
- Spain
- France
- Denmark
- Australia
- Belgium
- Portugal
- United Arab Emirates
- Switzerland
- Austria
- Singapore
- Luxembourg
- Poland
- China
- Hong Kong
- Finland
- Canada
- Ireland
- Vietnam
- Morocco
- Czech
- Italy
- Romania
- India
- Brazil
- New Zealand
- Andorra
- Lithuania
- Greece
- Japan
- Latvia
- Slovenia
- South Africa
- Ukraine
- Chile
- Croatia
- Cyprus
- Estonia
- Saudi Arabia
- Worldwide
- Armenia
- Bulgaria
- Indonesia
- Israel
- Kenya
- Malaysia
- Taiwan
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Arts and Literature
- Psychology
- Chemistry
- Education
- Social Sciences
- Business
- Humanities
- Materials Science
- Earth Sciences
- Environment
- Electrical Engineering
- Linguistics
- Law
- Physics
- Design
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
their historical, cultural, and formal dimensions and diversity. We teach strategies of interpretation in relation to a variety of textual forms and media, emphasizing the ability to write persuasively and precisely
-
considered. Candidates must have a PhD in mathematics by employment start date. Candidates will teach undergraduate and graduate courses in mathematics, perform research, and supervise graduate students
-
research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI
-
of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
-
Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
-
computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation
-
WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate
-
-reviewed publications in areas of extragalactic astronomy that are synergistic with the functional work on NED. Experience with Machine Learning or Artificial Intelligence. Proficiency in Python, working
-
catalysts for the synthesis of a range of industrially valuable compounds. This PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning
-
Prof. M. Fernando Gonzalez-Zalba, a multidisciplinary and dynamic research team passionate about building a scalable quantum computer based on silicon technology. Moreover, the PhD will have a strong