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, mechatronics, thermal, fluids). Expertise in engineering design (mechanics, team-based, numerical, computer-aided). Ability to develop and teach upper-level undergraduate and graduate courses. Demonstrated
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Industrial and Systems Engineering or related field or equivalent military/work experience, AND: 36 months of machine tool operation including programming and workholding concepts. 24 months of electrical and
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific
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the Commission on Colleges of the Southern Association of Colleges and Schools. We invite you to become a part of the Southwest Team! Title: Adjunct Faculty Pool - Computer Engineering Technology Employee
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 11 hours ago
liquid handling systems; and interest in machine learning and AI. 3/23/2026
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and a demonstrated commitment to teaching who will support and expand our academic programs in Electrical Engineering, Computer Engineering, and Cybersecurity. Areas of interest include Artificial
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requirements and focusing on data-value maximisation. This project will utilise innovative machine learning methods and tools from process systems engineering to simultaneously optimise product quality and the
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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of Engineering at California Baptist University invites applications for adjunct faculty appointments to teach a variety of computer science, software engineering and/or data science courses at both