147 postdoc-distributed-algorithms positions at The University of Chicago in United States
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Donnat, the assistant will preprocess raw omics data, conduct exploratory and multivariate analyses (e.g., PCA, CCA), and iterate on new algorithms for mutant detection and pathway discovery. The role is
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of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences while
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, OGPA facilitates postdoctoral appointments and reappointments with the Office of Academic Affairs, establishes and enforces policy with the Provost's Office, acts as a resource for postdocs, faculty, and
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resource for postdocs, faculty, and staff on postdoctoral policy and benefits questions, and manages the postdoc database. The OGPA organizes career and skill development training and ethics seminars
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model for preparing graduate students and postdocs to succeed while at UChicago and beyond. With teams focusing on admissions, fellowship advising, writing support and public speaking training, student
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travel arrangements. Processes students, visitors, postdoc and faculty reimbursements through TEMS, ServiceNow and ePayment. Assists other members of the Office Staff as needed. Triages emails and
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(if separate) to transition grant administration upon award, including updating proposed budget to match Notice of Grant Award. Interacts with University Research Administration, faculty, postdocs, and pre/post
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Access: Assist with badge reader access for the Theory Center space by maintaining our security spreadsheets and providing space access for students/new staff/postdocs. Special Events and Journal Clubs
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experience in a large distributed computing environment. Previous experience in providing support for Linux HPC cluster used for scientific research. Technical Skills or Knowledge: Experience with installing
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data