Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
-
to approximate expensive forward and adjoint simulations while preserving underlying physics. Uncertainty-aware inference: combining physics-informed learning for regularization with probabilistic generative
-
students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic
-
, or practice in their discipline. For this search, “AI” includes (but is not limited to) Machine Learning (ML), Deep Learning, Reinforcement Learning, Optimization for/with ML, Probabilistic Modeling
-
evolution, therapy resistance, and immune escape in urologic cancers (especially prostate, bladder and kidney cancer). The program will draw on expertise in probabilistic modeling and causal machine learning
-
, resource requests, and environment management. Desired Requirements: 1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration. 2. GPU experience: PyTorch/CUDA for segmentation/model
-
Optimise and validate: Constrain free parameters using experimental data from muscle calcium imaging and behavioural recordings. Explore motor control: Apply computational approaches (probabilistic
-
Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and
-
is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
-
datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people