Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
or a closely related discipline. Knowledge of genetics and genomics and a passion for applying quantitative approaches to biological and medical research questions. Strong expertise in (Bayesian
-
. Understanding what variation persists, how populations evolve, and why responses differ among populations is important both for explaining diversity in nature and for predicting the evolutionary consequences
-
data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
-
data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
-
complexion. Use of high-precision, dated sediment cores and CSIA to shape our understandings of ecosystem functionality over different time scales. Proposals will be evaluated based on their relevance
-
Postdoctoral Research Fellow — Modeling Tumor Evolution and Treatment Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the
-
complexion. Use of high-precision, dated sediment cores and CSIA to shape our understandings of ecosystem functionality over different time scales. Proposals will be evaluated based on their relevance
-
entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
-
Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field observations—including
-
qualifications: Experience with data assimilation, probabilistic machine learning, Bayesian inference, inverse modeling, and/or simulation-based inference is an advantage. Experience with land-surface models