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experience in the following topics: object-oriented programming, data structures, discrete structures, computer organization, machine learning, deep learning, algorithms, science of programming, computer
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experience in computer science or statistics, and is enthusiastic about learning how to apply algorithms to single-cell data. The technician will work in direct supervision of Dr. Manu Setty, who has extensive
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current on platform updates, emerging trends, algorithm changes, and evolving best practices related to local search, digital discoverability, and online reputation management. Evaluate and implement new
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algorithms; collaborates with existing clinical and research units to support ongoing laboratory projects. Develops and implements departmental and divisional policies and changes in procedures; consults
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, assist in research data for publication, facilitates implementation of new search algorithms pertaining to HLA typing and donor search selection Communicates with NMDP case managers; Obtains aphesis center
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lead projects integrating multi-omics (single-cell RNA- and ATAC-seq, spatial transcriptomics) and genetics to understand the biology of human aging, with a focus on neurodegenerative diseases and
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debug complex software programs. Implement and optimize algorithms for data-intensive research. Deploy and maintain systems in both simulated environments and on physical hardware. Diagnose and resolve
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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, including fluent data programming skills and an understanding of numerical algorithms used in data modeling and analysis. CSCAR @ ISR consultants must be capable of managing multiple projects and
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experience. Proficiency in using Python, AI APIs (OpenAI, Anthropic, Gemini, etc.), machine learning algorithms, and software development frameworks. Familiarity with building agentic solutions using