3 mathematics statistics jobs found

Mathematics Quantitative Fellow Amherst Campus Full Time JR6705 Amherst has taken a leadership role among highly selective liberal arts colleges and universities in successfully diversifying the racial, socio-economic, and geographic profile of its student body. The College is similarly committed to enriching its educational experience and its culture through the diversity of its faculty, administration and staff. Job Description: Amherst College invites applications from graduating Amherst College seniors or recent alumni for the Mathematics Quantitative Fellow position. The Mathematics Quantitative Fellow is a full-time, fixed-term position from July 2026 to June 2027. The expected range for this position is $20.02 - 22.50 per hour. The salary offered will vary based on a number of factors, including but not limited to relevant education, training, and experience, tenure status, and other nondiscriminatory business considerations. Amherst College is pleased to provide...

Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes Posting Number: SP005013P Division/College: University Research Department: Institute for Modeling Collaboration & Innovation (IMCI) Location: Moscow Posting Context Statement: Position Overview: The Postdoctoral Research Associate selected for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods for predicting mental health outcomes of anxiety, depression and PTSD . There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project. This position is one of three Postdoctoral Research Associate positions currently available at the University of Idaho in the Institute for Modeling Collaboration and Innovation ( IMCI ). These postdoctoral researchers...

    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.