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in future smart environments such as healthcare, manufacturing, and power systems. 4. Machine Learning/Computer Vision for Robotics, including symbiotic intelligence and foundational models for scene
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vision. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of
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, nanomedicine, and disease therapeutics. You will be able to contribute to our vision to translate basic disease findings into medicinal RNA approaches to improve the lives of people suffering from
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endoscopic spine, Robot-assisted surgeries for treatments such as deep brain stimulation (DBS), Stereotactic and robot-assisted surgeries for treatment of conditions like movement disorders and brain tumors
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between the University and the Queen’s University Faculty Association (QUFA), which is posted at https://www.queensu.ca/facultyrelations/qufa/collective-agreements-lous-moas and at http://www.qufa.ca
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record of achievement and impact in research, teaching, leadership, and service at a level commensurate with the appointment as a tenured full professor. The candidate should also have a strong vision for
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: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc. Critical Studies on Arts and Machine Creativity: Art history
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of teaching and curriculum development Research impact and experience, funding track record and research vision International impact and experience Societal impact Innovativeness, including commercialization
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, isthmoceles, C-section scar ectopic pregnancies, adnexal pathology, abnormal uterine bleeding, and congenital anomalies. The Division emphasizes minimally invasive laparoscopic, robotic, and/or vaginal surgical
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to AI and big data analytics, synthetic biology, robotics, and neurotechnologies. Qualifications: Ph.D. in Philosophy, Science and Technology Studies, Bioethics or a related field in hand by