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in devices, heart rate sensors), Contribute to lab operations. Salary range In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $75,000 depending
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energy harvesting from the motion of heart, power management, wireless communication, and recording of cardiac activities. The proposed system utilizes a stretchable transducer that converts the movement
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machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work independently, has a passion for AI
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regulatory networks from single-cell genomics data, including RNA-seq and ATAC-seq, and to predict phenotypic outcomes of genetic perturbations. Our work primarily uses the model plant Arabidopsis. Funded
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mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial
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via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical