Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
-
. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
-
Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: For more information about the Department of Psychology, see: https://www.csun.edu
-
Bayesian machine learning for robotics applications in industrial manufacturing and medical diagnosis, SDU Robotics invites applications for one or more fully funded Research Assistant positions
-
” website: https://www.rsm.nl/faculty-research/departments/strategic-management-and-entrepreneurship/phd-in-strategic-management/ Opens external Keywords Entrepreneurship, Innovation, Strategy Renewal
-
of the Biomaterials and Tissues of the Future. https://cordis.europa.eu/project/id/101226431 This network has 8 host institutions hiring doctoral candidates: Uppsala University, Universitat Politecnica de Catalunya
-
, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert
-
in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
-
this date). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7372-TIMBON-003/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
-
foundations in classical probability theory and can be seen as a generalization of the Bayesian framework, bringing an additional degree of flexibility to express different types of uncertainty. In machine