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Field
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-informed AI framework that decodes the complex relationships between material defects, functional fields (e.g., strain, electrostatic potential), and device performance, with a primary focus on leveraging
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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chromatin remodelling complexes, and benchmark their activities generate nucleosome positioning maps using sequencing-based readouts (e.g., MNase-seq, Fiber-seq) and perform quantitative data analysis
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. Additionally, you possess solid analytical skills and approach complex problems in a structured and solution-oriented manner. The workplace You will work at the Division of Communication Systems
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of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging from viruses
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infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
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sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
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for therapeutic intervention. Initially focused on tools to study human protein complexes, the lab has expanded to novel screening platforms in human cells for applications such as Deep Mutational Scanning and
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Care and Sleep Medicine within the Department of Internal Medicine; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab focusing on Lung fibrosis
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication