Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- UiT The Arctic University of Norway
- BI Norwegian Business School
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Inland Norway
- Diakonhjemmet Hospital
- NHH Norwegian School of Economics
- The Norwegian School of Sport Sciences
- University of Agder (UiA)
- Østfold University College
- 3 more »
- « less
-
Field
-
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
-
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
-
inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling. The centre has numerous collaborations with
-
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
-
handling and statistical analysis of large datasets and spatial data. Excellent data programming skills in the R software are required. We expect the candidate to be passionate about doing research, and to
-
in the structured PhD programme at 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
-
business, economics, psychology, statistics or related disciplines. An MBA does not meet the requirements. Final year Master of Science students are encouraged to apply. The four year scholarships
-
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
-
completed a master’s degree in a relevant subject within the sport sciences, biostatistics, statistics, epidemiology, mathematics, computer science or equivalent with a documented knowledge of statistics
-
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