Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Norway
- Spain
- Italy
- 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
-
are not limited to: Learn research techniques to develop algorithms and models for the simulation of field data Participate in experimental activities such as research design, data collection, technical
-
the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
-
and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
-
formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
-
also be involved in improving object reconstruction, such as developing advanced algorithms for tau lepton identification or jet substructure / particle-flow techniques to identify Higgs bosons decaying
-
algorithms (such as machine learning or clustering). Familiarize with the multi-level data and how to model them in a polystore architecture [2] or similar (Month 1 – 12). Develop an environment to test the
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing methods to quantify uncertainty
-
developing novel algorithms, but also understanding, optimising and applying developed algorithms for extraction of Digital Mobility Outcomes (e.g. gait outcomes) Very good knowledge of and experience using
-
, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities
-
Doctoral Candidates (DC1 and DC2) to carry out research in neuromorphic photonic-electronic integrated circuits for brain-inspired information processing and sensing (DC1) and in the development of efficient