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expertise in one or more relevant areas, including MEMS/NEMS devices and systems, piezoelectric or ferroelectric materials and devices such as HZO and AlScN, device-level computing architectures, in-memory
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circuit platforms. This work includes the development and theoretical study of novel circuit architectures, aimed at improving coherence and enabling new approaches to quantum computation. The Postdoctoral
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-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and interpretable AI methods (SHAP, Integrated Gradients, etc.). Demonstrated ability to stay up to date with
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modeling architectures and interpretable AI methods (SHAP, Integrated Gradients, etc.). Demonstrated ability to stay up to date with advances in AI and apply new methods to research problems. Independent
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— are central to the biology of disease transmission, yet the regulatory architecture underlying these differences remains poorly understood. The successful candidate will combine functional genomics approaches
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, reproductive physiology, immune competence, and vector capacity — are central to the biology of disease transmission, yet the regulatory architecture underlying these differences remains poorly understood
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, and the ability to read related scientific papers on cancer combination therapy. It would also require expertise in relevant AI methodology, such as deep learning architectures for property prediction
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and