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This PhD project builds on the notion that existing matching algorithms and domain models insufficiently address the characteristics of workers with a disability. The project aims to develop novel knowledge
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Join the team that will develop breakthrough technologies for ultra-efficient aircraft development! To achieve significant progress in producing sustainable aircrafts in the future, the advancement
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construction and contribute to the advancement of circular economy principles in the building sector. The ultimate goal is to develop a feasible and sustainable recycling technique for fine recycled aggregates
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Python) for automated parametrization of models and simulations, as well as for performing optimization, data analytics, and experimental validaton. An affinity with teaching and guiding students. Ability
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the acquired data using state-of-the-art theory using Python/Matlab/etc. Discuss with, and help, colleagues. Develop your own ideas to address research questions, and pose these questions yourself. Publish your
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PhD candidate, Compliance by Design: Technical Challenges of EU AI Act Requirements and Their Ethica
Act; develop methodologies for evaluating the risk levels of AI applications, aligned with the Act's classifications and assessing systems' adherence to ethical and legal standards; formulate more
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systems to more effectively request and synthesize inputs from ordinary people about how various designs are falling short in ethically-significant dimensions. Alternately, philosophers may want to develop
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technology applications. Investigate ethical, legal, and social implications of health data collection and usage. Collaborate with project partners to develop and evaluate digital applications in field labs
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Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7545 Job description We are seeking an enthusiastic PhD candidate to develop novel ideas to establish trust in deep learning
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marketing campaigns and to develop a novel methodological framework to design effective and fair personalized policies. The project will include large-scale field experiments in collaboration with company