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Precision Medicine Translational Research Center and National Organ-on-a-chip Platform Postdoctoral Researcher Opening

West China Hospital is ranked the #1 research hospital in China. The National Precision Medicine Industry Innovation Center is led by West China Hospital of Sichuan University and has been jointly established by several departments nationwide. We will strive to become a national center for precision medicine innovation to gather talents around the world. Based on the West China Hospital Precision Medicine Translation Research Center and the National Precision Medicine Industry Innovation Center, the Organoid on Chip Platform, the company is committed to the research on the integration of medical and industrial fields.

Introduction to West China Hospital can be found: https://www.wchscu.cn/details/50453.html

Postdoctoral fellow Position qualifications:  Applicants of any nationality must be under 35 years old. Applicants must have a degree in bioengineering, biomaterials, medicine, biology, pharmacy, or biotechnology. Open to PhD

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Job ID: 242227

PhD Student in Biomaterials and Medical Devices
University of Pittsburgh

The Translational Medical Device Research Laboratory at the University of Pittsburgh (https://sites.google.com/view/chun-lab/home) is seeking two dedicated graduate student researchers interested in biomaterials, micro fabrication, and biomedical device research.

Start Date: Spring 2025

Qualifications:

B.S. or M.S. in bioengineering, mechanical engineering, industrial engineering, materials science, MEMS, or a relevant field. Previous research experience in designing, manufacturing, and testing devices.

Expected Expertise:

Computational modeling Device manufacturing MEMS fabrication Cell culture In vitro tests

Interested candidates should send an email including a cover letter, C.V., and a list of three references to [email protected].

Thank you for your interest.

Best regards,

Youngjae Chun

Please reference

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Applications are invited for several Ph.D. positions in Coordination and Control of Mobile Multi-Robot Systems. The positions are with the Department of Electrical and Computer Engineering at North Carolina A&T State University (NCAT), and the students will work under the supervision of Dr. Ioannis Raptis.

The research aims to establish a theoretical and computational framework for designing motion coordination algorithms for fleets of mobile robots operating in confined spaces. Applications include traffic management in autonomous intersections, urban aerial mobility, and warehouse automation. The research has analytical, computational, and experimental components. The derived algorithms will be validated using actual aerial and ground mobile robots.

Students from all majors relevant to control systems, computer science or engineering, and applied mathematics are encouraged to apply. Preference will be given to candidates with a strong and demonstrated background in at least one of the following topical areas:

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The Department of Electrical and Computer Engineering has multiple opportunities for students to embark on a fully funded Ph.D. journey within a research-intensive institution. Our students work closely with globally acclaimed researchers in cutting-edge domains such as devices and materials, electromechanical and energy systems, embedded systems (including IoT and edge computing), and electromagnetics.

Student benefits include:

A competitive stipend Tuition waiver Health insurance coverage Access to state-of-the-art facilities that foster excellence in research.

Ph.D. students are sought for multiple projects, including but not limited to:

Intelligent Sensor & Wireless System, Prof. Nathan Jeong [email protected]

Advanced Signal Processing and Machine Learning Algorithms for Autonomous Vehicles, Prof. Shunqiao Sun [email protected]

Transportation Electrification and Power Distribution Decarbonization: decision making under uncertainties using optimization and reinforcement learning, Prof. Lusha Wang [email protected]

PT Sensors for Monitoring Chronic Diseases; An Integrated Opioid Sensor System; Monitoring of Microplastic Pollution

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