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in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications
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sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in
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tune control systems for mission-specific payloads (e.g., gimbaled cameras, spotlights, delivery mechanisms) to ensure stable operation and precise control during flight. Edge Computing Implementation
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description FACULTY POSITIONS (AT ALL LEVELS) IN COMPUTER SCIENCE, COMPUTER ENGINEEERING AND
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simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics
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available at all levels from Lecturer to Full Professor in Chemical Engineering or related disciplines. Priority skill areas include: process monitoring and control, industry 4.0, modeling, AI and ML
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Requirements Have relevant competence in the areas of Cyber Security. Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a