Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Imperial College London
- ;
- Cornell University
- Nanyang Technological University
- Nature Careers
- University of Bergen
- University of Oslo
- Zintellect
- Harvard University
- Instituto Pedro Nunes
- National University of Singapore
- Open Society Foundations
- University of London
- University of Manchester
- University of Michigan
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Dalhousie University
- King Abdullah University of Science and Technology
- La Trobe University
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- London School of Hygiene & Tropical Medicine;
- Max Planck Institutes
- Monash University
- NTNU - Norwegian University of Science and Technology
- Purdue University
- Singapore Institute of Technology
- The University of Queensland
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of Birmingham
- University of Glasgow
- University of Michigan - Flint
- University of Tartu
- University of Waterloo
- 27 more »
- « less
-
Field
-
, data mining, Bayesian methods, and statistical learning About Working at the Crick Our values We are bold. We make space for creative, dynamic and imaginative ideas and approaches. We’re not afraid to do
-
foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris
-
modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing
-
more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
-
that directly relate to this position. We are seeking a highly motivated Postdoctoral Research Fellow for a 12-month appointment focused on the design and development of power electronics, active harmonic filters
-
interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine
-
on the design and development of power electronics, active harmonic filters and advanced control systems. The position is supported by Michigan Translational Research & Commercialization (MTRAC) Advanced
-
or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
-
, they will have prior knowledge of infectious disease modelling, Bayesian inference methods and optimisation methods. They will have a developing research profile, with a demonstrated ability to publish
-
.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical