Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Intensive Care National Audit & Research Centre - ICNARC; | London, England | United Kingdom | about 2 hours ago
Clinical Trials Unit (CTU) that is designing and delivering cutting-edge clinical trials employing frequentist and Bayesian methods in adaptive and platform trial designs. We are looking for a Principal
-
physics, Bayesian inference, and complex systems theory. You will contribute to method development, simulation and validation in close collaboration with experimental partners. Key Responsibilities: Carry
-
Bayesian ML approaches for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and
-
startup funding and starting salaries are anticipated. The department encourages people from all areas of research to apply and is particularly interested in expertise in the broad areas of Bayesian
-
of parametrization of these models based on least squares and Bayesian calibration techniques employing longitudinal series of anonymized PSA data from patients. 3) Analysis of the predictions, parameters, and
-
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
-
will focus on developing and applying Bayesian statistical models to investigate and predict biofouling patterns to enhance our understanding of how environmental factors and antifouling technologies
-
courses within the research methodology (Data Collection) and statistics modules (Mixed Models, Bayesian Approaches, Network Models, etc.). Additionally, the candidate may also contribute to teaching across
-
of statistical analyses, in particular: Exploratory and confirmatory factor analysis, Multilevel analyses (including latent class analysis), Time series analysis, Bayesian inference methods, Regression techniques
-
). -Interest in Bayesian inference. - Knowledge of non-Gaussian models (heavy-tailed, impulsive) is an asset. Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité