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The Faculty of Engineering at the University of Ottawa is seeking applications for a Tier 2 Canada Research Chair (CRC) in Biomedical Engineering. The Tier 2 Canada Research Chair in Biomedical Engineering will advance innovative solutions at the intersection of engineering, health sciences, and digital technology. With expertise in areas such as tissue engineering, artificial organs, biomedical devices, biomechatronics, biorobotics, biosignals, biosensing, or biomaterials. The Chairholder will develop transformative technologies to improve patient care and health outcomes.  The Chair will also become a member of the Ottawa-Carleton Institute for Biomedical Engineering (OCIBME), a joint research institute established by both the University of Ottawa and Carleton University.  The Institute draws on the expertise of several prominent researchers from seven academic units in the two universities and medical professionals from hospitals and well-established medical research institutions.  These include the University of Ottawa Heart Institute, the University of Ottawa

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RSS Feed Source: Academic Keys

Postdoctoral Employee – Artificial Intelligence – Electrical Engineering and Computer Sciences Department

Position overview
Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf. The current minimum salary range for this position is $69,073 – $77,030 annually. Salaries above the minimum may be offered when necessary to meet competitive conditions.

Percent time: 100%

Anticipated start: January 2026 or flexible

Position duration: 2 years with the possibility of extension based on performance and availability of funding

Application Window
Open date: August 13, 2025

Next review date: Thursday, Aug 28, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Monday, Sep 15, 2025 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received

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RSS Feed Source: Academic Keys

The University of Arkansas seeks applications for the position of Assistant Professor (R0074417). The Assistant Professor will develop and teach undergraduate and graduate courses and laboratories in the Mechanical Engineering. The successful candidate may be required to teach in Mechanical Engineering Technology program. This is a nine-month, tenure-track position with an estimated start date of January 2026 or until filled. This position is governed by state and federal laws, and agency/institution policy.

Required Qualifications:  PhD in Mechanical Engineering or closely related discipline (Degree must be from an accredited university). ABD may be considered; BS in Mechanical Engineering or Aerospace Engineering; Demonstrated strong English communication skills.

Preferred Qualifications: Prior teaching engineering courses; Experience in teaching in a hybrid or on-line environment; Expertise in engineering software, such as SolidWorks, AutoCAD, Ansys, MATLAB; Post-doctoral or industrial experience; Experience in the use of Artificial Intelligence in research is

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The University of Arkansas seeks applications for the position of Assistant Professor (R0074414). The Assistant Professor is responsible for teach computer engineering courses in the Electrical and Computer Engineering (ECE) program, graduate courses in MS and Ph.D. programs, mentor undergraduate students on Capstone design projects, supervise thesis and dissertation research of graduate students, and perform scholarship. This is a nine-month, tenure-track position with an estimated start date of January 2026 or until filled. This position is governed by state and federal laws, and agency/institution policy.

Required Qualifications: Ph.D. in Computer Engineering or a related field (degree must be earned from an accredited university by December 31, 2025).

Preferred Qualifications: Prior teaching and industrial experience is desirable; Demonstrated strong English communication skills; Experience in teaching in a hybrid or on-line environment; Experience in the use of Artificial Intelligence in research is preferred.

Application materials must

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