35 data-science-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University
Sort by
Refine Your Search
-
addition, a tool capable for determining the Carbon Dioxide Removal (CDR) credits as a function of feedstock, location, pyrolysis process and technology and will be validated by real-world data. You will be
-
the Skrydstrup Group at the Department of Chemistry, Aarhus University invites you to apply for a 5-month Post Doctoral position (30 hours/week) starting from November 1st, 2026. Expected start date and
-
knowledge and technology to capture and recycle carbon dioxide. The center will be based at Aarhus University in Denmark and will collaborate with industry and authorities to identify new solutions to reduce
-
Applications are invited for a 2-year post-doctoral position in the field of evolutionary genomics and bioinformatics at the Department of Biology, Aarhus University, Denmark. Expected start date
-
of turbulence while supporting industrial partners in accelerating the green transition and the digitalization of society within fluids engineering. For more information about the group’s work, see: Fluid
-
possible thereafter. The position is a fixed-term full-time position for 3 years. As a postdoc at the Department of Clinical Medicine, you will be part of what is probably the largest health science research
-
investigator: Associate Professor Palle Villesen. Your competences You have academic qualifications at PhD level, for example within the following areas bioinformatics, data science, computer science, or another
-
is probably the largest health science research department in Denmark. Our clinical research covers all the medical specialities and takes place in close collaboration with the university hospital and
-
and career counselling to expat partners. Please find more information about the International Staff Office and the range of services here . Aarhus University also has a Junior Researcher Association
-
methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management