Sort by
Refine Your Search
-
Category
-
Employer
- University of Innsbruck
- Graz University of Technology
- Nature Careers
- University of Graz
- University of Vienna
- Academic Europe
- Johannes Kepler University
- Medical University of Vienna
- Medizinische Universitaet Wien
- Vienna University of Technology
- WU Vienna University of Economics and Business
- 1 more »
- « less
-
Field
-
comprise all aspects of applied mathematics, from model development and mathematical analysis to numerical implementation and statistical estimation of models as well as software packaging. What to expect
-
Vienna, 01.09.2025 We are seeking a highly motivated PhD student with a strong background in molecular biology, cell culture and cancer mouse models. Prior experience with single-cell RNA sequencing (scRNA
-
Description Your Responsibilities Participation in one or more research fields of the institute: Material modelling of e.g. fresh concrete, soil, biological tissue (aorta, skeletal muscles) Numerical
-
engineering, environmental engineering) In-depth knowledge of: Geotechnics, numerical calculations with discrete element method, model tests, laboratory tests, geotechnical measurements, natural hazards, mass
-
and administrative tasks Your profile Completed subject-related Master's, Magister or Diplom degree programme Proven advanced software user skills in the field of design, 3D modelling, rendering and
-
a comparable field of study Modelling experience in the field of water supply or drainage systems and/or data-based models desirable Knowledge of urban drainage, nature-based solutions (NBS), water
-
demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career. We offer an annual gross salary of at least € 52,007.20 for a
-
, decentralisation, digital organisations Knowledge of qualitative and quantitative empiricism and netnography First publication experience Basic knowledge of sentiment analysis (BERT-based models) and topic modelling
-
engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
-
in which diversity is lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career. We offer