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, AI risks remain difficult to identify and assess. Many arise not only from technical limitations but from interactions among algorithms, users, workflows, and clinical environments. This requires
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, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from the public and private sectors). This approach aims
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operational practices • Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems • Developing machine learning models to accelerate mixed-integer
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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(Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class switching and somatic hypermutation, and identify putative candidate tumor-regulatory
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applications on commercially available quantum platforms. Example directions include Rydberg-atom interactions and collective decay, quantum many-body dynamics, and implementing fault-tolerant quantum algorithms
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different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape
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image correlation (DIC) datasets with fully three-dimensional finite element analysis (FEA) results in mechanical test setups on metals and polymers including uni-axial and bi-axial loading at different