-
-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
-
Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
-
and KMS States, Probability Theory and Analysis. The list may be updated with new areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and
-
, stable isotope probing, functional gene analysis, metagenomics, bioinformatics, and the integration of microbial chemical and environmental datasets. The candidate will contribute to establishing a SIP
-
experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
-
, and a waitlist control condition. Data will be collected by the time the postdoctoral researcher starts, allowing the researcher to focus on analysis, writing, and publication. The position is suited
-
of inorganic and coordination compounds, including discrete complexes and related systems, using methods such as X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and
-
one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling
-
with sustainability assessment methods, including life cycle assessment and related modelling approaches, and you have applied these in cases and analysis related to biobased products and the bioeconomy