33 Statistics ";" Postdoctoral positions in Denmark

Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)

on Bayesian statistics and apply them in several real-world settings of important clinical relevance. The postdoc will be responsible for developing the area with a group consisting of a PhD student, a data

Postdoctoral scientists in psychiatric epidemiology and/or statistical genetics - National Centre for Register-based Research, Aarhus University

University, a leading international research group investigating psychiatric epidemiology and statistical genetics. The Centre has a strong track record in collaboration with other Danish researchers and with

Postdoc in Data Science in the area of statistical signal processing of greenhouse gas emission data from agriculture

mitigation strategies. Tasks and responsibilities: Using statistical signal processing methodology to develop methods of fault detection for snifferes measurement system. Develop methods of noise filtering

Postdoc in Data Driven Modeling for Monitoring Wind Turbine Bering Operation (2024-221-102697)

parameters. The model is used for condition monitoring and fault detection using methods focusing on statistical methods using residual generation and Kalman filtering. Qualifications: Phd and master's degree

Postdocs in insect breeding for food and feed at the Center for Quantitative Genetics and Genomics, Aarhus University, Denmark

genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data related to insect breeding and experience in developing insect breeding strategy. Experience

Postdocs in genetic modeling of feed efficiency in dairy cattle at the Center for Quantitative Genetics and Genomics, Aarhus University, Denmark

methane emission traits in dairy cattle. The candidate must have Ph.D. degree in quantitative genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data

Post Doctoral position in Food Consumer Science

of survey research, from planning and ethics approval, through pilot work and data collection, to statistical data analysis and write-up. Qualitative research skills and experience are an advantage but not

Postdoc in Enhancing Circular Economy through Improved Construction Site Waste Management (2024-224-05792)

science, statistical analysis, and mathematics. Experience with programming languages such as MATLAB and Python. Excellent analytical, problem-solving, and modeling skills. Strong written and verbal

Postdoc position: Integration of Electronic Structure Simulations and Data Science with Operando Visualizations of Single Nanoparticle Catalysts - DTU Physics

surface structure of single nanoparticles by integrating atomic-scale simulations, statistical methods, and TEM imaging. Exploring the use of Bayesian statistics to understand experimental data and improve

Bioinformatics/Data Science Postdoc: Analysing mutation processes in the human genome

statistical modeling and methods development to experimental hypothesis evaluation and clinical translation. There are also close collaborations with the wet-lab and clinical groups at the department ( https