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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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), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
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, develop, and evaluate predictive models and algorithms that lead to optimal value extraction from the data. Evaluates and implements novel approaches to address aims and milestones to multilayered datasets
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positions in theoretical computer science, algorithms, and complexity. Founded in 2022, INSAIT’s mission is to establish itself as a world-class research institution and has attracted outstanding faculty
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requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The postdoc will work together and within a
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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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. Optimizes and extends algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with
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/jobs/21778518/staff-scientist-computational-genomics-genetics Return to Search Results
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maternal metabolism in pregnancy. The position involves analysis of large-scale genomic data, including genome-wide association studies (GWAS), computation of genetic risk scores, and integrative modeling
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/OOP, Software Engineering, Computer Net-works, Computer Architecture and Organization, C/C++, Algorithms, Data Structures, Cybersecurity, Embedded Systems, Databases, Machine Learning, Artificial