Sort by
Refine Your Search
- 
                Listed
- 
                Country
- 
                Employer- Aalborg University
- CNRS
- Indiana University
- KINGS COLLEGE LONDON
- UNIVERSITY OF HELSINKI
- University of Oslo
- Aalborg Universitet
- ETH Zürich
- Johns Hopkins University
- King's College London;
- The University of Arizona
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Colorado
- University of Sydney
- 5 more »
- « less
 
- 
                Field
- 
                
                
                communication and collaboration skills Preferred: Experience with simulation-based inference and Bayesian methods Familiarity with cosmological simulations or observational cosmology ML architecture design and 
- 
                
                
                , hydro-acoustics, data science, geodynamics, geophysics, statistics, Bayesian inference ⁃ Experience with statistical analyses and machine learning techniques ⁃ Programming in C / python / Julia 
- 
                
                
                has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and 
- 
                
                
                diagnosis of psychosis. The postdoctoral researcher will lead a research program focused on developing and testing the computational mechanisms of social inference, although will have plenty of scope, and 
- 
                
                
                ., Merilä, P., Vanhatalo, J. & Laine, A.-L. (2024) Inferring ecological selection from multidimensional community trait distributions along environmental gradients. Ecology, 105(9): e4378. Doi: doi.org 
- 
                
                
                . Ecology Letters, 28(4): e70003. Doi: 10.1111/ele.70003 Kaarlejärvi, E., Itter, M. S., Tonteri, T., Hamberg, L., Salemaa, M., Merilä, P., Vanhatalo, J. & Laine, A.-L. (2024) Inferring ecological selection 
- 
                
                
                experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods 
- 
                
                
                developing and testing the computational mechanisms of social inference, although will have plenty of scope, and will be encouraged, to develop and expand their own research interests. The postholder will work 
- 
                
                
                diagnosis of psychosis. The postdoctoral researcher will lead a research program focused on developing and testing the computational mechanisms of social inference, although will have plenty of scope, and 
- 
                
                
                : developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and