41 algorithm-development-"Multiple"-"Prof"-"Prof"-"Newcastle-University"-"U.S" research jobs in United States
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of pediatric cancer patients and discover the impact of therapeutic exposure on development of secondary neoplasms in adult survivors. Position Responsibilities: Evaluate bulk-tumor deconvolution algorithms
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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team to lead our efforts to improve quantitative image analysis in projects related to cell adhesion. This position will operate with a high level of autonomy and entails developing innovative
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discovery by conducting data-driven experiments and developing machine learning models on diverse biomedical data modalities. Responsibilities Data processing across multiple biomedical domains (image, speech
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| Mechanical and Aerospace Engineering This Researcher 3 in the Department of Mechanical and Aerospace Engineering reports to Dr. Jami Shah in Digital Design & Manufacturing Lab. This position develops
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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, especially in the field of optoelectronics; Experience in programming languages such as C++, Python, LabVIEW, IGOR, or MATLAB for data analysis and algorithm development; -Experience with simultaneously
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research initiatives that analyze the impact of AI technologies on social systems and design innovative methods for adapting economic and social governance to AI development. A special focus will be
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical