Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
health, though expertise in these areas is not required for applicants. The position will involve primary responsibility for data organization and statistical analysis, as well as co-authorship
-
ideal for a researcher with a strong background in survey methodology, experimental design, and statistical analysis who is interested in business power, self-regulation, and public opinion in
-
of supervision at Bachelor’s and Master's degree level. We expect you to have experience with human electrophysiology (i.e. MEG and EEG, in particular hyper scanning), expertise in advanced statistical analysis
-
equivalent), preferably within civil and environmental engineering, statistics, industrial ecology or data science with a passion for sustainability. We welcome candidates with postdoctoral experience
-
/cognition-and-clinical-neuropsychology/ , at the Department of Psychology, University of Copenhagen. Qualification requirements The candidate must have obtained a PhD degree in mathematics, statistics
-
conducting laboratory work Experience in planning and conducting field work Insight into and experience with applied statistics, microbial ecology, soil health indicators and interdisciplinary collaboration
-
work Insight into and experience with applied statistics, soil mapping, soil health indicators and interdisciplinary collaboration Who we are At the Department of Agroecology, our main goal is to
-
, acoustics, cognitive (neuro)science, or a related field Expertise in auditory perception. Experience with visual or multisensory perception is a plus. Good command of psychophysics and statistics Good command
-
science, psychology, cognitive (neuro)science, or a related field Expertise in visual perception. Experience with auditory or multisensory perception is a plus. Good command of psychophysics and statistics
-
statistical analyses for the tasks. Based on your competence and interests, your tasks will include: Develop and use epidemiological models (for example regression models or SIR-models), including for “what