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this PhD position you will be part of the Ethical, Legal, and Societal Aspects (ELSA) lab on legal, regulatory and policy aspects of clinical decision support systems. This interdisciplinary lab studies
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efficiency of an algorithm that is run on an architecture/accelerator. To make testing multiple architectures easier, you will leverage our existing approach to generate code from a single source code for
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consumption, create energy labels for algorithm scalability, and guide implementers in choosing more efficient algorithms. Ready to make AI more sustainable? Apply now! The goal of your PhD project is to
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Are you interested in making the processes for building machine learning models more transparent and explainable? Would you like to work in interdisciplinary teams to uncover the needs of clinical