Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
in a changing climate. The position is supported by extensive research infrastructure, including long-term field trials, national datasets, laboratories, and advanced models. As a member of IGN’s
-
(Associate Professor level) in the field of in vivo neuronal functional/circuitry 4D studies in rodent models of Parkinson’s disease as per 1 January 2026 or as soon as possible thereafter. The position is a 5
-
of Parkinson’s disease and other synucleinopathies. The successful candidate will establish a collaborative research program on live-cell functional studies of alpha-synuclein aggregate processes in cell models
-
Start: July 1 Duration: One-year full-time appointment Project: Danish Foundation Models Location: Center for Humanities Computing, Aarhus University Job Description: We seek a highly motivated IT
-
DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
structure and function. This includes the integration of experimental data and the rigorous validation of computational models to ensure reliable and interpretable outcomes. Collaborate closely with internal
-
)biodiversity and conservation genetics applied to wildlife and model organisms. The selected candidate will contribute to this important transition by integrating our vibrant team and by engaging in
-
, biobanks, epidemiology, neuropathology, wearables and biotech, experimental disease models including animal and cell models, and basic science programs in alpha-synuclein patho-mechanisms, neuroimmunology
-
geography. In the group, we specialize in Atmospheric physics and chemistry, including numerical methods and computer science Air pollution modelling at regional (Northern Hemisphere, Europe, Denmark) and
-
Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed
-
questions in large populations. The translational pharmacology group aims to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as