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<span lang="en">Max Planck Institute for Multidisciplinary Sciences </span> | Göttingen, Niedersachsen | Germany | about 22 hours ago
="noopener noreferrer" href="https://quest.dtu.dk/">https://quest.dtu.dk/). QUEST brings together leading European universities, research institutes and innovative companies to advance quantum technologies
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management, IT, engineering and production teams to map information flows, design priority controls, and build the governance routines the business needs to pursue US & UK defence and aerospace supply-chain
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We are looking for 5 motivated Doctoral students to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering. You will
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and
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mediated by penetration enhancers and to support the rational design of improved permeation enhancers candidates. The PhD candidate will investigate how permeation enhancers interact with model
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, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
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less) that covers: · A general statement about your approach to art and the kind of things you make · Your career goals Go to https://bgsu.slideroom.com/#/permalink/program/59671 and make a slideroom
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project, we aim to employ privacy-enhancing techniques to design new and efficient algorithms that can provide strong protection during the entire life cycle of ML models used on the devices
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project, we aim to employ privacy-enhancing techniques to design new and efficient algorithms that can provide strong protection during the entire life cycle of ML models used on the devices