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of deep learning-based denoising frameworks and sub-tomogram alignment for cryo-electron tomography datasets, to support the analysis of the performance of various denoising algorithms. This role will
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, Hugging Face etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers
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to test the current algorithm and inform development of future algorithm refinements aimed at supporting diabetic foot ulcer (DFU) prevention through identification of temperature differences of > 2.2°C
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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. Possible teaching areas include introductory programming in Python, data structures and algorithms, database systems and data management, cloud computing for data science, advanced data visualization, and
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | 19 days ago
and outliers in claims and develop trends and patterns for potential cases. Develop algorithms, queries, and reports to detect potential FWA activity. Analyze member records and claims data to ensure
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks: Participation in research
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Python, data structures and algorithms, database systems and data management, cloud computing for data science, advanced data visualization, and machine learning. As a liberal arts college, we value
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms