Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UNIVERSITY OF MELBOURNE
- Cornell University
- KINGS COLLEGE LONDON
- Montana State University
- Nanyang Technological University
- UiT The Arctic University of Norway
- University of Oslo
- King Abdullah University of Science and Technology
- King's College London
- Max Planck Institutes
- Monash University
- National University of Singapore
- Nature Careers
- Queen's University
- The University of Queensland
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SOUTHAMPTON
- University of Beira Interior
- University of Bristol
- University of Bristol;
- University of Exeter;
- University of Leeds
- University of Leeds;
- University of London
- University of Manchester
- Zintellect
- 16 more »
- « less
-
Field
-
demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and opportunities.3) Demonstrated experience in Bayesian or other statistical approaches, and
-
publication(s) The following qualifications will count in the assessment of the applicants: Familiarity with Bayesian estimation techniques Familiarity with machine learning methods Proficiency in IRT Personal
-
series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory, fluid mechanics, and mathematical biology. Further details on the departmental
-
employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
-
or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
-
to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
-
: Familiarity with Bayesian estimation techniques Familiarity with machine learning methods Proficiency in IRT Personal skills A collaborative, friendly, and team-oriented style of work Ability to join
-
transferring learning from other geographic regions and data types, machine learning methods, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work
-
. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
-
of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center