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美國(guó)伊利諾伊大學(xué)芝加哥分校光學(xué)成像和光聲成像兩個(gè)博士后職位

時(shí)間:2020-10-29來源:中國(guó)博士人才網(wǎng) 作者:佚名

TWO POSTDOCTORAL POSITIONS ARE AVAILABLE IN OPTICAL AND PHOTOACOUSTIC IMAGING - BIOENGINEERING (OPIRA LAB)

University of Illinois at Chicago

Job Description

Title:

Two postdoctoral positions are available in optical and photoacoustic imaging - Bioengineering (OPIRA Lab) (Job ID #138772)

Category:Postdoc Res Assoc

Location:Chicago

Close Date:12/15/2020

Description:

The Optical & Photoacoustic Imaging Research and Analysis (OPIRA) Laboratory is a research laboratory dedicated to the development of novel biomedical imaging technologies. We are looking for motivated researchers with interest in optical and photoacoustic imaging instrumentation and image analysis. For more information about our current research and publication list, please visit the following link: https: // www. opira-avanaki.com/research. The description of the two postdoctoral positions are listed below:

Duties:

See below:

Qualifications:

1. Postdoc position in Photoacoustic Imaging Instrumentation. The postdoctoral fellow will contribute to the design, development and optimization of a photoacoustic tomography system for infant brain imaging. Some of responsibilities include conducting phantom and animal imaging experiments, data analysis. More details about the projects will be discussed during the interview (the candidates are highly encouraged to study the research topics in OPIRA lab under https: // www. opira-avanaki.com/research before they apply). This project is hosted by the Biomedical Engineering Department at UIC, collaborating with UIC Medical School, Biomedical Engineering Department at the University of Michigan and Harvard Medical School. Requirements for this position include: (a) a PhD in Electrical Engineering, Biomedical Engineering, Physics, or Biomedical Physics; (b) a strong background in design and development of imaging system instrumentation, especially optical and ultrasound imaging; (c) strong Matlab (required) and Labview programming (required); (d) ability to work independently and in a multi-disciplinary team environment; (e) experience with optical system design, machine learning and GPU programing are plus. The successful candidate will be expected to publish significant research findings and must have excellent verbal and written English communication skills. The candidate will be asked/trained in grant writing. Interested candidates are invited to email their detailed CV to avanaki@uic.edu; please include your relevant skillset (according to the requirements mentioned above) to this position in the body of your email.

2. Postdoc position in image analysis, pattern recognition and machine learning. The postdoctoral fellow will contribute to the development of image analysis, pattern recognition and machine learning-based algorithms for analysis of optical coherence tomography (OCT) images of melanoma skin. The aim is to assist diagnosis of skin cancer without biopsy. More details about the projects will be discussed during the interview. This project is hosted by Biomedical Engineering and Bioinformatics Departments at UIC, collaborating with UIC Medical School, and Michelson Diagnostics Co. Requirements for this project include: (a) a PhD in Computer science, Biomedical Engineering, or Electrical Engineering; (b) must have experience with image analysis, pattern recognition and machine learning algorithm development; (c) strong Matlab (required), Python (required), C/C++ programming; (d) ability to work independently and in a multi-disciplinary team environment; (e) experience with optical imaging instruments is a plus. The successful candidate will be expected to publish significant research findings and must have excellent verbal and written English communication skills. The candidate will be asked/trained in grant writing. Interested candidates are invited to email their detailed CV to avanaki@uic.edu; please include your relevant skillset (according to the requirements mentioned above) to this position in the body of your email.

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