Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Innsbruck
- Academic Europe
- Graz University of Technology
- Nature Careers
- University of Vienna
- AIT Austrian Institute of Technology
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Institute of Geotechnical Engineering, BOKU University
- MedUni Vienna
- Medical University of Vienna
- Medizinische Universitaet Wien
- Paris-Lodron-University Salzburg
- University of Graz
- University of Innsbruck, Institute of Computer Science
- University of Salzburg
- Universität Graz
- Vienna University of Technology
- WU Vienna University of Economics and Business
- 8 more »
- « less
-
Field
-
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
-
computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
-
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
-
of the doctoral programme is to train outstanding young researchers who will make a major contribution to the development of THz technology, including micro- and nano-fabrication, advanced measurement, modelling
-
skills Interest in PhD Thesis Knowledge in inverse problems and forward models Willingness to be mobile (work in international projects, conferences, etc.) Admission Requirements Completed master's
-
are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R • Competences in quantitative research methods - ideally knowledge of several
-
biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
-
) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R