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Essential PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields. Strong publication record in biosensors, nanomaterials, Raman spectroscopy
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace Engineering, Mechanical Engineering or a closely related discipline Strong track record in Aerospace MRO, aerospace systems
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collegial and team-spirited candidates with an earned PhD in a related discipline from a reputable university, plus relevant work experience or experience of industry-linked applied research projects
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attached with industry. We will prioritise collegial and team-spirited candidates with either (a) an earned PhD or equivalent from a reputable university with specialisation in any of the above-mentioned
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projects. Contribute to curriculum design, innovation, and continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or
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in operational MRO environments Serve as a technical mentor across disciplines (AI, robotics, materials), enabling cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace