Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
publish solid contributions at the best machine learning conferences. STIMA is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational
-
strengths with the current group of statisticians, probabilists, and applied mathematicians in the department, which includes, but not limited to, statistical learning or computational statistics Proven
-
develop risk assessment methodologies for bridges and civil infrastructure, which integrate remote sensing data with physics-based models into a probabilistic decision support system. You will establish a
-
Optimise and validate: Constrain free parameters using experimental data from muscle calcium imaging and behavioural recordings. Explore motor control: Apply computational approaches (probabilistic
-
of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching/transformer architectures Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with
-
faculty , including data-efficient probabilistic machine learning, generative modelling, amortized inference, interactive and cooperative machine learning, and transformative multidisciplinary collaboration
-
one or more of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
-
, Neuroscience, Physics or a related field. Candidates should have strong skills in machine learning and statistics and experience with Gaussian process regression and/or probabilistic regression. Experience with
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
, providing a vibrant academic environment and outstanding research support. The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine