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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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-on experience in training large neural networks. Peer-reviewed publications in CVPR, ECCV, and AAAI. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems. Background in MRI
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-based genetic screens (CRISPR-Cas9, CRISPRi) to investigate gene regulatory networks in cancer biology. ● Collect, analyze, and interpret data, including literature review and applying specialized
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gene regulatory networks in cancer biology. * Collect, analyze, and interpret data, including literature review and applying specialized techniques in the field. * Prepare manuscripts for publication in
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-based genetic screens (CRISPR-Cas9, CRISPRi) to investigate gene regulatory networks in cancer biology. ● Collect, analyze, and interpret data, including literature review and applying specialized
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, immunohistochemistry and confocal microscopy, and knowledge of different statistical analyses. Preferred Qualifications: Knowledge in the neuroscience field. Experience with culturing human pluripotent stem cells and
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, immunohistochemistry and confocal microscopy, and knowledge of different statistical analyses. Preferred Qualifications: Knowledge in the neuroscience field. Experience with culturing human pluripotent stem cells and
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer