385 high-performance-computing uni jobs at The University of Chicago in United States
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external computational tools for program data. Draft grant proposals. Develop training material. Keep lab's knowledge-based trainings up to date. Supervise trainees. Perform reproducible genomic data
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, documenting clinical research records, and participation in program audits. Accountable for all tasks in moderately complex clinical studies. Performs other related work as needed. Minimum Qualifications
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confidential and high-level administrative and operational support to the Medical Director, medical leadership team, and staff. This person will perform administrative, financial, human resources
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alumni relations and annual giving strategies. This position manages a comprehensive alumni and donor engagement program aimed at fostering donor loyalty, increasing alumni participation, and identifying a
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staff and leadership to evaluate performance, identify gaps, and adjust strategy as needed. Collaborates with partners in research, analytics, and donor experience to surface and prioritize high-potential
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Computing Center, IT Services, and University Research Administration to facilitate secure data management. In conjunction with the RCC, identifies issues impacting the successful operation of the SDE, and
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of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Performs other related work as
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efforts. Partners with TMW Center staff members and other stakeholders in pursuing new participants to ensure study has adequate amount of participants. Obtains and maintains consents for program
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biology and genomics, bioinformatics and computational biology. Job Summary The Zhou lab is seeking a Staff Scientist to lead the analysis and interpretation of genomic sequences and large-scale biological
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the continued receipt of these grant funds and satisfactory job performance. Job Summary This role compiles, documents, analyzes, and reports on moderately complex clinical studies. Provides input to support the