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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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either back-end Java development, front-end UI development, and/or signal processing algorithm development. This position will work on all phases of software application development ranging from
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the response algorithm - Work with specific University client groups to determine opportunities for preventive care or risk mitigation activities - As needed, provide after-hours nurse consultation
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projects. Desired: Doctoral Degree in Bioengineering, immunology, systems biology Experience using open source packages and adapting or developing new algorithms to analyze single-cell transcriptomics and
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for new and existing computational algorithms – iPSC differentiation to neurons, organoids, and assembloids. Complies with established safety procedures and maintains required documentation on laboratory
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or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
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evolutionary genetics; and genome-wide studies by such approaches as sequencing, transcriptional and translational analysis, polymorphism detection and identification of protein interactions. The Department
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data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and
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surveys, data-intensive algorithms, and software. The Institute comprises seven faculty and senior fellows, and over 30 postdoctoral researchers, research scientists, software engineers, and graduate
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computational tools, pipelines, or algorithms to improve the accuracy and speed of genomic workflows, particularly for rare variants and noncoding regions. • Functional Follow-up: Implementing functional assays