Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Norway
- Italy
- Spain
- Netherlands
- Denmark
- Belgium
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Hong Kong
- Ireland
- Canada
- Austria
- China
- Czech
- Worldwide
- Cyprus
- Estonia
- Finland
- Japan
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Bulgaria
- Saudi Arabia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
-
. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
-
. Examples include leveraging quantum algorithms for large-scale optimization and control, developing quantum-secure communication and networking for critical infrastructure, and advancing integrated photonic
-
the Institute for Mechanobiology (IfM) in Boston, MA (see https://mechanobiology.northeastern.edu/our-faculty for list of the IfM core faculty). This position has an initial 2-year appointment, renewable
-
Economics » Cyclical economics Economics » Econometrics Economics » Economic policy Economics » Economic systems Economics » Economic theory Economics » Economics of development Economics » Environmental
-
presentation found here: http://www.med.umich.edu/cvc/pdf/cvcpotentialteam.pdf Job Summary The Telemetry Monitor Technician will be accountable and responsible for the continuous monitoring of cardiac rhythms
-
, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
-
scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational
-
devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems
-
the likelihood of the target to fall within the stationary clutter returns and in the shadow of complex structures. We will investigate the use of multistatic radars against low observable threats and develop
-
situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine