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memories for processors requires to further increase the areal density, and ideally shift to a 3D design similar to 3D NAND flash. A first move along this path was the proposal of the Perpendicular Shape
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junctions (MTJs) for applications such as magnetic sensors and magnetoresistive random access memories (MRAM). This experience should encompass design and optimization of material stacks, experimental
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following expertise: Early fly and mouse development Quantitative imaging and image analysis Statistical physics and data analysis Microscope design and control Genomic and genetic tool design Candidates
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Project summary : The implementation of complex strategies in compact circuits remains a major challenge in the design of autonomous devices. This project addresses the following questions: How
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, adaptivity, agency, representation, and context-awareness in collaborative and socio-technical systems. Responsibilities: Design, implement, and evaluate novel XR applications and interactive systems targeting
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contexts, marrying computational law, symbolic AI, and large-scale evaluation into a blueprint for safe child-facing AI. The successful candidate will: Lead high-impact research at the intersection of multi
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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within the Department of Behavioral and Cognitive Sciences. Your role Your responsibilities: Design, implement and analyse a daily diary survey across a broad adult age range Contribute
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale