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Field
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supervision of Dr. Marwa Chafii on Channel Modeling for integrated sensing and communication (ISAC). Responsibilities: Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple
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patients and cancer-free individuals, and will integrate these data alongside other data modalities (e.g., patient outcomes, functional genomics) to enable new clinically relevant discoveries across multiple
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Scalable Inference: Develop new algorithms for scalable uncertainty quantification (UQ) and Bayesian inference and apply them to challenging simulation problems. The goal is to produce robust, validated
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to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms
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courses on data mining, algorithmic bias, data ethics, and critical data studies. Intermediate and upper level courses could include modeling and simulation, data analytics for spatial analysis, geographic
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limitations or potential issues with datasets and data types that may impact performance from machine learning algorithms. Re-trains models as needed to address new challenges or novel goals. Aids investigators
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the development and service contracts for the required software components, including the definition and maintenance of the required processing algorithms, during initial development and later evolutions
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outcome research, including classification, regression, clustering, and deep learning algorithms. · Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including
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stakeholders, both internal and external. This will involve managing multiple communications channels and planning, creating and distributing high quality content to promote the Hub’s activities and impact. This
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this project will be to study the capabilities of LDMX to handle pile-up (multiple electrons hitting the target at the same time) in more detail. This will mainly be based on simulation-studies of potential