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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
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expertise in the informed reproduction of ancient technologies testing in experiments both the use value of objects and the skills/time involved in their manufacturing. The candidate should have knowledge
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composites and co-developing medical devices with industry partners. The candidate will also assist in filing intellectual property rights related to medical device innovations. In addition to experimental
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and metabolic disorders. These approaches entail device design and manufacturing, drug conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic
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expertise in the informed reproduction of ancient technologies testing in experiments both the use value of objects and the skills/time involved in their manufacturing. The candidate should have knowledge
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with industry and other stakeholders, NYUAD Wireless seeks to pioneer advancements in wireless technologies by providing robust theoretical foundations for leveraging new spectrum bands and addressing
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collaboration with industry and other stakeholders, NYUAD Wireless seeks to pioneer advancements in wireless technologies by providing robust theoretical foundations for leveraging new spectrum bands and
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the digital era. Through close collaboration with industry and other stakeholders, NYUAD Wireless seeks to pioneer advancements in wireless technologies by providing robust theoretical foundations
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initiative that aligns closely with the UAE’s vision to lead in the digital era. Through close collaboration with industry and other stakeholders, NYUAD Wireless seeks to pioneer advancements in wireless