Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Rutgers University
- University of North Carolina at Chapel Hill
- Indiana University
- Rice University
- SUNY University at Buffalo
- University of Colorado
- University of Sheffield
- Aalborg University
- Brown University
- Florida State University
- SciLifeLab
- Syracuse University
- Temple University
- University of British Columbia
- University of Glasgow
- University of Massachusetts
- University of Sheffield;
- University of South Carolina
- University of Texas at Austin
- University of Utah
- Université d'Orléans
- 11 more »
- « less
-
Field
-
, United States of America Subject Areas: Bayesian inference; inverse problems Appl Deadline: 2025/12/31 11:59PM (posted 2025/10/09, listed until 2026/04/09) Position Description: Apply Position Description The Department
-
experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
-
Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
-
-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department Contact for Questions Songhu Wang (sw121@iu.edu) Additional
-
. Supervisor Bio I’ve been working in the field of Bayesian ML for 10+ years, with a focus on real-world applications and have developed several insect tracking techniques. As well as an opportunity to conduct
-
and learned surrogates with clear statistical validation; Bayesian inverse problems and data assimilation via measure transport and amortized inference; robustness and distribution shift in scientific
-
Bayesian ML approaches for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and
-
principles and analytic methods relevant in health services research Advanced knowledge of statistical computing and/or Bayesian inference Advanced programming skills in a common statistical software package
-
inference, analysis of high-dimensional and -omics data, Bayesian methods, and clinical trials, with active collaborations in cancer, aging, HIV, and the analysis of large-scale health data. The School
-
Tenure-Track Biostatistics Faculty - (25002815) Description EPIDEMIOLOGY AND BIOSTATISTICS Tenure-Track Biostatistics Faculty We invite applications for open-rank tenure-track faculty in