Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position
-
estimation, and the detection and compensation of sensor drift and degradation. The candidate will develop data processing and modelling approaches combining signal processing, statistical analysis, and data
-
morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
-
Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
analysis of parameterized finite‑element models. By integrating data‑driven and FEM‑based approaches, a hybrid model is developed that accurately represents physical relationships while providing real‑time
-
(doctoral researcher) to enhance our research group. The candidate will contribute to the numerical modelling, the analysis, and the interpretation of marine biogeochemistry model simulations based on NEMO
-
modeling Programming/scripting skills (e.g., Python, R) for data handling and visualization Strong interpersonal and cross-disciplinary collaboration skills What We Offer Innovative Research Framework
-
of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
-
interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and quantitative analysis
-
analysis. Contributions to the development of novel experimental designs for dark matter axion searches are also possible. Our group provides hands-on access to state-of-the-art cryogenic facilities and the
-
The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab