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Field
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. Apply deep learning approaches to support optimization of segmentation methods for clinical neuroimaging datasets. Investigate developmental differences in infant brain functional networks. Support
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collaboration and the optimization of models for embedded systems, such as NVIDIA Jetson and TensorRT will be an advantage, as will a documented ability to publish in international journals. You communicate
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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volumetric bioprinting to deposit functional layers inside the stent lumen, as well as computational simulations and perfusion bioreactor systems to optimize design and performance. The final goal is to
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flights. The successful candidate will be expected to take a leadership role in the detector development, including testing, optimization, and calibration. A PhD in experimental astroparticle physics, high
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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data, player and team evaluation metrics, win probability and decision models, scheduling/optimization, or injury and workload models. Experience with modern data engineering and analytics tools (e.g
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. 2. Personalized prognostic models of time to loss of independence. 3. Identification of characteristics associated with ATT initiation to optimize referral pathways. 4. Real-world ATT outcomes
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. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will be based at NYU Abu Dhabi and
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optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using