Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...
-
at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
-
analytics solutions; interoperability standards (e.g., HL7, FHIR); biomarker or phenotype modeling; Bayesian or predictive modeling; or the analysis of genomics or other omics-scale data. Experience
-
. et al. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports 14, 10080. https://doi.org/10.1038/s41598-024-60478-9
-
at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to
-
Website https://www.academictransfer.com/en/jobs/360021/assistant-professor-in-statisti… Requirements Specific Requirements Above all, we are looking for a proactive team player with outstanding
-
the requisite experience. A2 Knowledge of mathematical and statistical methodologies including several of: Statistical modelling and inference, Bayesian statistics and probabilistic modelling, Inverse problems
-
intelligent feed rate optimiser. The aim is to make smarter decisions before metal is cut, not after. What you will work on The project sits at the intersection of machine learning, Bayesian inference, and
-
Discrete Mathematics Probability and Statistics Regression Analysis Time Series Analysis Bayesian Statistics Mathematical Foundations of Machine Learning Contribute to curriculum development and course
-
, including sequential Monte Carlo methods, Gaussian processes and Bayesian compressed sensing. Applicants from different backgrounds are encouraged to apply depending on the specific nature of the project