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Job Description

Stevens Institute of Technology is looking for skilled and experienced adjunct faculty members to teach online graduate-level courses. Previous online teaching experience is strongly preferred.  

Responsibilities include preparing and maintaining course materials and syllabus, teaching assigned classes, grading and providing appropriate feedback to students, holding office hours online, and performing course assessment.  

The instructor will teach during their assigned semester as well as have opportunities to teach multiple sections and/or courses in subsequent terms. This is a part-time position. 

A copy of the syllabus is attached. Candidates must be able to teach all the topics outlined in the syllabus.

Qualifications:  

Master’s (required) or Ph.D. (preferred) in related field.  

Previous teaching experience in the subject area is required.  

Experience teaching in an online environment is preferred. 

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RSS Feed Source: Academic Keys

The Department of Mechanical and Process Engineering (www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

The new professor is expected to establish an ambitious, world-class research program in the field of sustainable engineering. We encourage applications from outstanding candidates with visible expertise in this broad field which ranges from sustainable materials engineering to green manufacturing. Successful candidates must demonstrate an excellent international record of research accomplishments with application to mechanical/aerospace structures and shall be able to leverage this knowledge to solve important engineering challenges such as designing consumer products with sustainable and durable materials, developing lightweight, robust and resilient structures, and conceiving energy-efficient, environmentally friendly, and low-waste manufacturing processes. Specific areas of research may include (but are not limited to): (i) engineering with composite materials emphasizing regenerative and sustainable solutions including natural, biodegradable, and recyclable materials as well as embedded multifunctionality at

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RSS Feed Source: Academic Keys

Job ID: 259360

Postdoc in Biomedical Engineering
Stevens Institute of Technology

Job Description

We are seeking a highly motivated postdoctoral researcher to lead the development of tissue bioreactors. The ideal candidate should have a strong background in bioinstrumentation, biomechanics, and/or tissue engineering and be capable of integrating innovative approaches to enhance bioreactor functionality. The Postdoc will work in a highly interdisciplinary environment.

Required Qualifications:

Ph.D. in biomedical engineering, mechanical engineering, or related disciplines. Outstanding communication skills (both oral and written). A record of publications and presentations. Ability to work effectively in a multidisciplinary and collaborative environment.

Preferred Qualifications:

Experience with design, characterization, and validation of biomedical devices. Hands-on experience in device fabrication and computer simulation. Experience in cell and tissue culture, processing, and analysis.

Responsibilities:

Develop and

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RSS Feed Source: Academic Keys

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for:

Three (3) Doctoral Researchers (PhD students) in Machine-Learning-Driven Atomistic Simulations

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