Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Technical University of Denmark
- Aalborg University
- Aarhus University
- Geological Survey of Denmark and Greenland (GEUS)
- University of Copenhagen
- University of Southern Denmark
- ;
- ; Technical University of Denmark
- ; University of Copenhagen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen
- 1 more »
- « less
-
Field
-
(e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research environment. You will be part of a
-
health, though expertise in these areas is not required for applicants. The position will involve primary responsibility for data organization and statistical analysis, as well as co-authorship
-
(e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research environment. You will be part of a
-
September 1st, 2025, or as soon as possible. The positions are for two years with potential for extension. We seek outstanding candidates to develop generative-AI-based statistical methods for blood-based
-
statistical analyses for the tasks. Based on your competence and interests, your tasks will include: Develop and use epidemiological models (for example regression models or SIR-models), including for “what
-
to bridge research and practical applications, while contributing to the digital transformation of the building and energy management sectors. Your primary tasks will be to: Apply advanced statistical and
-
Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
-
forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
-
or administrative registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience
-
statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital