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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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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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, or a closely related field. Preferred Qualification: Research experience in biomedical implants, animal models, and aging/Alzheimer’s disease. Research experience in biomaterials, neuroscience
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Stony Brook University, Mathematics Position ID: StonyBrook -POSTDOC [#25194] Position Title: Position Type: Postdoctoral Position Location: Stony Brook, New York 11794-3651
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at the British Antarctic Survey. We seek an enthusiastic and quantitative researcher to develop a mechanistic model integrating foraging energetics and movement data to assess how wind and sea ice influence giant
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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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at the British Antarctic Survey. We seek an enthusiastic and quantitative researcher to develop a mechanistic model integrating foraging energetics and movement data to assess how wind and sea ice influence giant
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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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culture models and mouse models to address the role of metabolism and inflammation in ocular diseases. ● Manuscript writing for publication and presentation of research findings at national