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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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, and prototyping. Lead education with workshop tools and machines. Lead the academic aspects of operation and management of the engineering technical learning spaces in collaboration with the laboratory
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and
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strong organisational skills Excellent computer skills, especially the usage of Microsoft Office applications Specific Skills Students must have successfully completed at least 2 years of an undergraduate