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Field
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candidates: Education A graduate degree (Master’s or PhD) in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or Robotics with a focus on flight control
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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procedures related to ammonia refrigeration systems in an industrial ammonia refrigeration plant. Experience monitoring building automation systems or other computer-controlled systems and providing first
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, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
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. Qualifications and Expectations Applicants must hold (or be close to completing) a Master’s degree in biomedical engineering, mechanical engineering, robotics, computer vision, applied mathematics, or a related
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limited to the malfunction of any computer, cable, network, hardware, or software, or other mechanical equipment; (c) the unavailability or inaccessibility of any transmissions, telephone, or internet
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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have at least 2:1 degree in a relevant field. Applicants with the prior knowledge and experience in one or more of the following fields are encouraged to apply: computer programming (any programming