Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Belgium
- Netherlands
- Denmark
- Portugal
- Spain
- Singapore
- Australia
- Hong Kong
- China
- Austria
- Poland
- United Arab Emirates
- Switzerland
- Canada
- Luxembourg
- Ireland
- Italy
- Czech
- Estonia
- Finland
- Latvia
- Romania
- Cyprus
- India
- Andorra
- Morocco
- South Africa
- Lithuania
- New Zealand
- Brazil
- Croatia
- Saudi Arabia
- Slovenia
- Worldwide
- Armenia
- Israel
- Japan
- Barbados
- Bulgaria
- Europe
- Greece
- Iceland
- Indonesia
- Malta
- Qatar
- Slovakia
- Taiwan
- Vietnam
- 44 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Business
- Social Sciences
- Arts and Literature
- Materials Science
- Humanities
- Psychology
- Education
- Linguistics
- Electrical Engineering
- Environment
- Earth Sciences
- Law
- Physics
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of
-
. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
-
interest in neurodevelopment and/or neurodevelopmental conditions Previous research publications or conference presentations (either as first-author or as a co-author) Machine learning and/or computational
-
science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation
-
landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g
-
seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
-
presentations, and the drafting of the dissertation. The program's primary goal is to prepare candidates for a career in international academe. For further information about the PhD program, please visit https
-
Engineering, or a closely related field. Required qualifications for graduate teaching include a PhD or terminal degree in Computer Engineering, Electrical Engineering, or a closely related field (preferred
-
methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
-
, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity