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The Quantum Information and Inference group led by Jan Kolodynski at the Centre of New Technologies (CeNT) of the University of Warsaw offers a 2(+1)-year postdoctoral position within the project Continuously Monitored Quantum Sensors: Smart Tools and Appl
Postdoctoral Position - Decision Making with Limited Data using Artificial Intelligence - An Active Inference Approach
Signals and Systems Division, Department of Electrical Engineering, Uppsala University has a vacancy for a postdoctoral position. The position is a part of the strategic research area effort eSSENCE´s PostDoc-program towards new e-science methods and tools for artificial intelligence in research.
The research group Communication Systems and Networks at Mid Sweden Sweden University announces one open Associate Senior Lecturer position within the area of wireless communication. We are looking for candidates with experience and knowledge on: machine learning, artificial intelligence, radio resource management, spectrum management, and communication protocols. The applicant should have an outstanding research record documented by publications in high-ranked journal.
Applicants are invited for two Early Stage Researchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted in the Istituto Italiano di Tecnologia (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N.
Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Ope
This paper deals with the design of a sensing matrix along with a sparse recovery algorithm by utilizing the probability-based prior information for compressed sensing systems. With the knowledge of the probability for each atom of the dictionary being used, a diagonal weighted matrix is obtained and then the sensing matrix is designed by minimizing a weighted function such that the Gram of the equivalent dictionary is as close to the Gram of dictionary as possible.
Research in light field (LF) processing has heavily increased over the last decade. This is largely driven by the desire to achieve the same level of immersion and navigational freedom for camera-captured scenes as it is currently available for CGI content. Standardization organizations such as MPEG and JPEG continue to follow conventional coding paradigms in which viewpoints are discretely represented on 2-D regular grids.
Acoustic event detection deals with the acoustic signals to determine the sound type and to estimate the audio event boundaries. Multi-label classification based approaches are commonly used to detect the frame wise event types with a median filter applied to determine the happening acoustic events. However, the multi-label classifiers are trained only on the acoustic event types ignoring the frame position within the audio events.
Manuscript Due: December 31, 2020
Publication Date: August 2021
CFP Document
Artificial intelligence (AI) and machine learning (ML) as an application of AI, has today become an inevitable part of major industries such as healthcare, financial trending, and transportation. Future urgent need to intelligently utilize wireless resources to meet the need of ever-increasing diversity in services and user behavior, has actuated the wireless communication industry to deploy AI and ML techniques.