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The Institution for Future is a newly established department in Qingdao University, nestling under the mountain and beside the sea in the beautiful coastal city of Qingdao. We have millions of funding and now seeking for some teammates who wish to lead the future with us. The following five labs are opening for candidates at all ranks (Post-Docs, assistant, associate, and full professor):
May 9-10, 2019
Location: Brighton, UK
Aalto University, Department of Signal Processing and Acoustics (Finland) invites applications for
Postdoc position in Speech Processing
About the position:
We have a vacancy for a PhD Research Fellow position at the Department of Electronic Systems (IES). The PhD position is for up to 4 years with 25% work assignments for NTNU IES.
Job description:
Lecture Date: November 21, 2018
Chapter: South Australia
Chapter Chair: Brian Ng
Topic: Cyber Attacks on Sensor Systems for Estimation and Detection
Lecture Date: November 23, 2018
Chapter: Australia Capital Territory
Chapter Chair: Nan Yang
Topic: Cyber Attacks on Sensor Systems for Estimation and Detection
Lecture Date: November 19, 2018
Chapter: Victoria
Chapter Chair: Abd-Krim Seghouane
Topic: Cyber Attacks on Sensor Systems for Estimation and Detection
Lecture Date: November 14, 2018
Chapter: France
Chapter Chair: William Puech
Topic: Light field image processing
Lecture Date: December 3, 2018
Chapter: Twin City, MN
Chapter Chair: Tao Zhang
Topic: Adaptive Noise Cancellers: Challenges, Solutions,
and Successful Applications of a Classical Technique
Domain engineers are staff with extensive experience in a field of interest to the SKA radio telescope (https://www.skatelescope.org/). Domain engineers provide engineering analysis as well as providing their technical expertise insupport of the one or more work package managers.
Join STG
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Human Language Technology Researcher
The Computational Medicine Laboratory (CML) at the University of Houston is currently looking to recruit one highly motivated and creative postdoctoral associate with applied mathematics and/or signal processing background to develop mathematical algorithms for biomedical engineering applications. CML mainly focuses on designing control, optimization, estimation, signal processing, and machine learning algorithms for biomedical and neural engineering applications.