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Field
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of computer vision algorithms, with a focus on assessing performance in edge deployment settings. Their role will involve supporting model development, running experiments, and analyzing results to evaluate
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 16 days ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
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. Developing and applying state‑of‑the‑art artificial intelligence and machine learning (AI/ML) algorithms to discover robust prognostic and predictive biomarkers, and design clinically actionable treatment
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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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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. Responsibilities Analysis of activations maps in mouse brains, primarily using R free-source library. Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps
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to minimize algorithmic bias. Develop expertise in evaluating AI devices that can adapt and learn post-deployment, including understanding evolving algorithms and creating methodologies to assess algorithm
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. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework. This includes developing the sensors, sensing robotic
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contributors to engineer solutions for developers, and users of nuclear energy modeling and simulation software. Major Duties/Responsibilities: Develop and implement numerical algorithms in advanced modeling and
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problems in biomedical field, interact with world class scientists, and gain experiences and develop skillsets for their next career stage. The computational biologist is expected to develop new