The last few years have witnessed a tremendous growth of the demand for wireless services and a significant increase of the number of mobile subscribers. A recent data traffic forecast from Cisco reported that the global mobile data traffic reached 1.2 zettabytes per year in 2016, and the global IP traffic will increase nearly threefold over the next 5 years. Based on these predictions, a 127-fold increase of the IP traffic is expected from 2005 to 2021. It is also anticipated that the mobile data traffic will reach 3.3 zettabytes per year by 2021, and that the number of mobile-connected devices will reach 3.5 per capita.
With such demands for higher data rates and for better quality of service (QoS), fifth generation (5G) standardization initiatives, whose initial phase was specified in June 2018 under the umbrella of Long Term Evolution (LTE) Release 15, have been under vibrant investigation. In particular, the International Telecommunication Union (ITU) has identified three usage scenarios (service categories) for 5G wireless networks: (i) enhanced mobile broadband (eMBB), (ii) ultra-reliable and low latency communications (uRLLC), and (iii) massive machine type communications (mMTC). The vast variety of applications for beyond 5G wireless networks has motivated the necessity of novel and more flexible physical layer (PHY) technologies, which are capable of providing higher spectral and energy efficiencies, as well as reduced transceiver implementations.
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Post-doc and Ph.D. positions are available to carry out research in signal and image processing for cellular microscopy, in particular single molecule microscopy.
The imaging of the dynamics of single molecules in live cells has the promise of revolutionizing cell biology and has attracted very significant attention cell biology, biophysics and physical chemistry. These techniques bring about unique challenges regarding the analysis of the acquired images since the signal from the single molecules is typically very weak in the presence of significant sources of noise. At the same time the biological requirements demand that distances between proteins are measured well below the classical resolution limits. A major aspect of our research program has been the development of signal and image processing approaches to address these exciting problems. The NIH supported projects aim to develop parameter estimation approaches and novel tracking methodologies for the particular problems.
The positions will provide the opportunity to not only work on projects of significant technical interest but also to become familiar with the fundamental biological questions that are being addressed in the laboratory. Specifically the laboratory investigates the trafficking of therapeutically relevant engineered antibodies in live cell environment, a problem that is major interest in the biopharma industry, due to the applications for the treatment of major diseases such as cancer. For more information on the research carried out in the laboratory see www4.utsouthwestern.edu/wardlab.
Highly motivated individuals with a background in signal processing, statistics, applied mathematics or equivalent qualification will be considered. Direct experience is not necessary. These positions provide the opportunity for the successful candidate to gain expertise in advanced microscopic techniques applied to important problems in biotechnology. Please send inquiries (resume, names of referees etc.) toProf. Raimund Ober Department of Electrical Engineering Department of Bioengineering University of Texas at Dallas Email: email@example.com
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