24 Statistics positions in PhD in Denmark

PhD fellowship in Avian Influenza epidemiology

investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives

PhD Stipend in Genetic Epidemiology of Inflammatory Bowel Disease

, Physics, Computer Science, etc.), a strong background in Data Science, Statistics, or Machine Learning, and an interest in Biomedicine. Alternatively, a candidate with a biomedical background with some

PhD scholarship in Data-Driven Modelling and Control for Energy Systems – DTU Compute

.) for optimal operation using e.g. model predictive control. You will use stochastic and statistical modelling concepts together with domain-knowledge to develop such models. Afterwards, the models are used in

PhD Stipend in Genetic epidemiology of inflammatory bowel disease

science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a

PhD Scholarship in Fish Ecophysiology and Ecology

will have the opportunity to influence the project based on their own ideas. Prior experience in working with fish in an experimental context is considered an asset, and proven skills in statistical

PhD scholarship in amino acid optimization of fish feed - DTU Aqua

trials Accuracy and patience for laboratory work Experience with UPLC and Western Blotting Analytical skills and experience in statistical analysis Strong written and oral communication skills in English

PhD position in data protection law with a focus on synthetic health data and artificial intelligence

on generative AI have been suggested. The data science team under this project will develop privacy metrics based on Bayesian statistics. The overarching purpose of the legal part of the project is to develop

PhD Scholarship in Bioinformatics and Data analysis - DTU Bioengineering

) for ongoing lab projects. The candidate should have a two-year master’s degree in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics

PhD scholarship in Deep Learning Theory and Differential Geometry – DTU Compute

theoretical aspects of machine learning. Therefore, a sufficient background in mathematics (e.g., linear algebra, statistics, optimization, calculus) is expected, along with programming experience using deep

PhD scholarship in Development of Oral Vaccines for Fish – DTU Aqua

/or immunology. Analytical skills and some experience in statistical and bioinformatical analysis. Strong written and oral communication skills in English. Ability to work in a team and to assist