Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- Aalborg University
- University of Southern Denmark
- Aarhus University
- Copenhagen Business School
- Copenhagen Business School , CBS
- Geological Survey of Denmark and Greenland (GEUS)
- University of Copenhagen
- Technical University Of Denmark
- ;
- The University of Copenhagen
- ; Technical University of Denmark
- ; University of Copenhagen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen
- 5 more »
- « less
-
Field
-
Method development in human statistical genetics, with a focus on classification of complex diseases
Speed's research involves developing statistical methods for better analysing data from genome-wide association studies, with a particular focus on improving our understanding of human complex traits (e.g
-
of data interpretation and insights, ensuring that research findings are supported by well-structured data analysis. Responsibilities Develop statistical analysis plans with researchers and project managers
-
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
-
(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
-
or in a related quantitative field (e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research
-
, bioinformatics, statistics, phylogeny and taxonomy and have demonstrated outstanding research within the focus area. Some teaching may be included, primarily in microbiology, genomics, statistics and
-
Qualifications: PhD in computer science, mathematics, statistics, or related fields (by the start date). Strong background in stochastic optimization, machine learning, or mathematical statistics. Track record
-
phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
-
experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
-
data. You will undertake various tasks, including but not limited to: data management, statistical programming, and literature reviews. Some ad-hoc tasks will also be required. The Person You will have a