Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop
-
) the physics of morphogenesis, (ii) collective behavior of organisms across scales, (iii) soft matter physics, (iv) quantify resource consumption in a large residential community, using sensor deployment
-
clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
-
. Builds internal code design and development guides for future contributors, Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
-
. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an
-
synthesis occurs, and if this dysregulation drives aging pathologies. Dr. Naomi Genuth will investigate these questions in Dr. Andrew Dillin’s lab at the University of California, Berkeley. Dr. Genuth will