Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Norway
- France
- Belgium
- Denmark
- Netherlands
- Singapore
- Spain
- Portugal
- Hong Kong
- Poland
- Australia
- Switzerland
- Austria
- China
- Luxembourg
- Canada
- United Arab Emirates
- Italy
- Ireland
- Czech
- Finland
- Cyprus
- Latvia
- Morocco
- Estonia
- India
- New Zealand
- Andorra
- Bulgaria
- Lithuania
- South Africa
- Brazil
- Romania
- Saudi Arabia
- Slovenia
- Worldwide
- Armenia
- Israel
- Japan
- Barbados
- Croatia
- Europe
- Greece
- Iceland
- Malta
- Slovakia
- Taiwan
- Vietnam
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Materials Science
- Humanities
- Social Sciences
- Psychology
- Arts and Literature
- Linguistics
- Education
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Law
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
students. The rest of your time (40%) is devoted to teaching. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning and AI methods
-
position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems
-
teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
-
teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
-
distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
-
and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
-
data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
-
thesis is not pre-defined and should be defined by the candidate over the course of the first year. The domain of the PhD thesis must be machine learning and either control theory, path planning, or multi
-
English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
-
· Communicate project progress and coordinate with research team Duration: · 3 ½ months Preferred start date as soon as possible but flexible. Basic Qualifications: · PhD or equivalent in engineering, building