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themselves up, start moving, and adapt to the situation while sensing their environment is becoming a reality. The question of how an origami “machine” made of passive self-folding materials, which is bound by
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castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design for casting
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-resolution imaging and reconstruction of neural tissues (see https://ist.ac.at/en/research/siegert-group/). Leveraging computational tools such as machine learning and topological data analysis, we will
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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validating data, spinning up virtual machines for research groups and enabling access to the relevant data as appropriate, providing support for researchers using the environment and dealing with any data
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of robotic equipment within bespoke cells to improve the efficiency and performance of machines. Provide guidance, assistance and technical advice with programming and integration of associated software and
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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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tasks and meet deadlines rigorously. [assessed at interview] Desirable criteria Familiarity with neo4j, python, Flask and software containers. [assessed at interview] Familiarity with machine learning and