Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- BI Norwegian Business School
- Diakonhjemmet Hospital
- NHH Norwegian School of Economics
- Norwegian University of Life Sciences (NMBU)
- The Norwegian School of Sport Sciences
- University of Agder (UiA)
- University of Inland Norway
- Østfold University College
- 3 more »
- « less
-
Field
-
internationally recognized, with interests spanning a broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease
-
the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
-
of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment outcomes Synthetic data generation (virtual patients) Statistical
-
outcomes Synthetic data generation (virtual patients) Statistical model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate
-
broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
-
quantitative analysis and statistical/econometric methods. Very good competence with statistical software (Stata, R, Python). Good written and oral English language skills. PLEASE NOTE: For detailed information
-
the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender
-
for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us. We
-
been submitted. Application requirements We encourage applications from candidates who have solid quantitative skills and a strong background in fields/disciplines such as statistics, operations research
-
portal form the basis for anonymised statistics that all state-owned enterprises report in their annual reports. Information about applicants may be made public even if the applicant has asked not to be