Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Belgium
- Denmark
- Netherlands
- Spain
- Singapore
- Portugal
- Hong Kong
- Poland
- Australia
- Austria
- China
- Luxembourg
- Switzerland
- Canada
- United Arab Emirates
- Italy
- Czech
- Ireland
- Finland
- Cyprus
- Morocco
- Estonia
- India
- Latvia
- New Zealand
- Andorra
- Brazil
- Bulgaria
- Lithuania
- South Africa
- 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
- Social Sciences
- Materials Science
- Arts and Literature
- Humanities
- Psychology
- Education
- Linguistics
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Law
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
-
; • Organization, systematization, and management of laboratory data. The candidate will also participate in the integration of experimental results with bioinformatics analyses and machine learning methodologies
-
, including uncertainty estimation, risk-aware prediction, and data-efficient learning - Continual, transfer, and meta-learning, with emphasis on sim-to-real and real-to-sim generalization - Applied machine
-
Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
-
the Institute of Psychiatry, Psychology, and Neuroscience (IoPPN) in KCL. The candidate is required to: Have a PhD in Signal Processing, Machine Learning, or Bioengineering from a reputed university. Have a
-
for renewal for an additional term based on institutional needs. Visiting Lecturers carry a 5-5 teaching load. We seek to hire a candidate with strong teaching credentials to teach our introductory course in
-
for farm-farm interaction Development of coupled LES and aero-elastic models using the actuator line method Analysis and design of wind farm control through LES and machine learning Scientific publication
-
e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
-
care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
-
supervise PhD 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