Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Portugal
- United Kingdom
- Sweden
- France
- Netherlands
- Singapore
- Spain
- Belgium
- Norway
- Denmark
- Poland
- Italy
- United Arab Emirates
- Australia
- Romania
- Finland
- Luxembourg
- Austria
- China
- Ireland
- Canada
- Hong Kong
- Japan
- Worldwide
- Estonia
- Greece
- Switzerland
- Malta
- Andorra
- Brazil
- Cyprus
- India
- Lithuania
- Czech
- Europe
- New Zealand
- Saudi Arabia
- Slovakia
- Taiwan
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Mathematics
- Economics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Earth Sciences
- Linguistics
- Business
- Physics
- Humanities
- Psychology
- Philosophy
- Law
- Arts and Literature
- Education
- Environment
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated
-
candidates must thus have a strong interest in algorithmic development as well as embedded hardware integration. Role and responsibilities This PhD project will be executed in close cooperation with
-
numerical modeling and validation of brain-inspired algorithms Develop circuit-plausible training and inference algorithms, and analyze their behavior in LTspice and Cadence Spectre Perform algorithm–circuit
-
. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
-
developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
-
, contribute to cutting-edge research in the field of emerging sensing technology, and research publications. Develop, test and evaluate novel AI algorithms to advance multi-modal sensing in resource constrained
-
new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department of Energy (DOE) experimental facilities. This role involves research and
-
etc., please see: https://csrankings.org/#/indexai&vision&mlmining&nlp&robotics&bio&world and https://mbzuai.ac.ae/study/faculty-directory/ They will work on developing Artificial Intelligence (AI) and
-
-enabled adaptation. The aim is to develop theoretically grounded yet practically deployable algorithms that allow multi-agent robotics to operate robustly in dynamic, uncertain, and interactive environments
-
test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills. Where to apply Website https