Sort by
Refine Your Search
-
The following qualifications are desirable for the position, but none are strict prerequisites: • A relevant academic degree (Master’s or PhD) in statistics, data science, mathematics, quantitative biology, or a
-
of memory narratives. Perform data analysis using statistical software such as R and SPSS. Contribute critically to academic writing and the publication process. Take part in the center’s research events
-
Aarhus BSS Graduate School, Aarhus University invites applicants for a PhD Scholarship in connection with the research project Econometrics at the PhD Programme Economics and Business Economics. The
-
Skills in statistical data analysis We Offer A vibrant, interdisciplinary, and supportive work environment Opportunities to work on innovative, high-impact projects The Department of Food Science The
-
observational data on public service quality Integrate multiple data sources to create comprehensive datasets Conduct quantitative analyses using advanced statistical methods Collaboration and Dissemination: Work
-
for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across
-
experimental designs in consumer research and experience in quantitative statistical analysis. It is an advantage if the candidate can work independently and in interdisciplinary as well as intercultural teams
-
biodiversity assessments and methodological development at Aarhus University. Your profile Applicants should hold a PhD in ecology, population or conservation genetics, evolutionary biology, bioinformatics
-
a PhD degree in the field of biogeochemistry, physical geography, climate science, ecosystem ecology, or related disciplines. The candidate is expected to have several years of experience as a postdoc
-
activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong