Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
screens with robust guide demultiplexing and assignment, and cell-type annotation using bespoke references. Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and
-
datasets, integrating multiple data types using appropriate statistical and computational tools (e.g. R or equivalent). C4 Excellent organisational and problem-solving skills, with the ability to work
-
Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
specifically, we use simulation-based inference (SBI) [1], a Bayesian approach that leverages deep generative models, such as conditional normalizing flows and score-diffusion models, to approximate
-
University of California, San Francisco | San Francisco, California | United States | about 1 month ago
and costs/cost-effectiveness. The project involves field sites in multiple countries, including Uganda, Zambia, Vietnam, India, and the Philippines. Skills of interest include international field site
-
areas and foster the development of multiple research projects involving one or more international collaborations. Open Science : The selected candidate will fully commit to open science by strictly
-
designs such as observational study, randomized clinical trial, adaptive randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis Work
-
randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis. · Develop as an educator by taking an active teaching role in POCUS and EBM
-
underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in applications
-
plasma-material interactions in fusion energy systems. You will also advance knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next
-
of innovations, programs, and policies that increase the value of health care services. Our faculty approach this mission from multiple perspectives, including across the lifespan and generations. HCPR faculty