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University - one of Denmark’s leading institutions for clinical research and medical education. Researchers in IKM conduct research across all medical specialties—including psychiatry, cancer, cardiology
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markets are governed. To test and develop this theory, the postdoctoral researcher will conduct sector case studies in different countries focusing both on the link between deviant business strategies and
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health
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leading research, collaborate with an interdisciplinary team, and develop novel approaches for understanding and predicting biodiversity futures in a rapidly changing world. Qualifications Ideally, you hold
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. The successful candidate will work with datasets from species for which genomic resources, reference genomes and established analytical workflows may be limited or incomplete. You will be expected to develop
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-Norm) is preferred. Experience with citizen science, co-creation, or other participatory/qualitative research methods is an advantage. Strong quantitative and statistical analysis skills (e.g. SPSS, R
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in