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University of Illinois System
Feb 05, 2026
Full time
Specialized Faculty (Open Rank, Non-Tenure Track) in Information Sciences
$80,000 - $115,000 yearly
University of Illinois System Champaign, IL, USA
  UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN School of Information Sciences Specialized Faculty (Open Rank, Non-Tenure Track) in Information Sciences The School of Information Sciences at the University of Illinois Urbana-Champaign seeks to hire outstanding specialized faculty members to join our dynamic and collegial School of Information Sciences (iSchool). We invite applications for two 100% full-time non-tenure track, open rank, specialized faculty positions with the iSchool. The iSchool welcomes scholars with experience in policy and governance, dynamics and complexity in social sciences, computational modeling in social sciences and humanities, organizational behavior, or librarianship. Candidates with backgrounds in cognitive science, business, library and information science, sociology, anthropology, history, political science, and psychology are especially encouraged to apply. We seek applicants who will thrive in an interdisciplinary academic...
Stanford University, School of Medicine
Feb 03, 2026
Full time Fellowship / PostDoc
Postdoctoral Scholar in Computational Biology
$76,400 - $78,000 yearly
Stanford University, School of Medicine Stanford, CA, USA
    We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions in metastatic progression. The scholar will aim to understand mechanisms through which the tumor microenvironment impacts tumor invasion and metastatic progression, using high-throughput data derived from cellular subpopulations within tumors. The individual will work closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments.
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