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Field
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involved in 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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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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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
transcripts across subtypes. In parallel, the candidate will work on exploring epidemiological models within the framework of phylodynamics and phylogeography and integrating them with population genetics
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic
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programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications
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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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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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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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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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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