Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Norway
- Germany
- Sweden
- France
- Netherlands
- Belgium
- Denmark
- Spain
- Australia
- United Arab Emirates
- Austria
- China
- Singapore
- Canada
- Poland
- Luxembourg
- Hong Kong
- Switzerland
- Estonia
- Italy
- Czech
- Worldwide
- Finland
- Ireland
- Cyprus
- Bulgaria
- South Africa
- Armenia
- Brazil
- Croatia
- Latvia
- New Zealand
- Saudi Arabia
- Slovakia
- Slovenia
- Andorra
- Barbados
- Europe
- Greece
- India
- Lithuania
- Malta
- Romania
- Taiwan
- Vietnam
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Science
- Biology
- Mathematics
- Electrical Engineering
- Arts and Literature
- Business
- Materials Science
- Social Sciences
- Chemistry
- Education
- Humanities
- Psychology
- Linguistics
- Earth Sciences
- Environment
- Physics
- Design
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
-
Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
-
for the university and funding agencies. Job Requirements: PhD qualification degree in Computer, Electrical or Electronic Engineering or related field At least 3 years of relevant research experience in AI security
-
Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
-
Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and
-
programme Reference Number C644914747-00000023 Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student Ref. 1149.10 - 1
-
eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
-
to knowledge in one or more of the following areas: machine learning, cybersecurity, or computer systems Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in
-
, energy consumption, and packet loss. The use of distributed machine learning provides a relevant solution to mitigate the lack of communication reliability [3][4]. This PhD proposes to guide the learning
-
. Eligibility criteria We are looking for a highly motivated PhD candidate who meets the following profile: Candidates must hold a Master’s degree in electrical or computer engineering (or a closely related field