Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- AIT Austrian Institute of Technology
- Graz University of Technology
- University of Vienna
- Nature Careers
- University of Innsbruck
- Academic Europe
- Austrian Academy of Sciences, The Human Resource Department
- Cluster of Excellence Circular Bioengineering
- Institute of Molecular Biosciences (IMB)
- Medical University of Vienna
- Medizinische Universitaet Wien
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University of Graz
- Vienna University of Technology
- 5 more »
- « less
-
Field
-
and determination? We are currently seeking a/an PhD in AI-assisted proteomic data analysis applied to Human Health 50 Faculty of Life Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working
-
Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts at the Computational Imaging Research
-
, Artificial Intelligence Engineering, as well as courses from the machine Learning and the data Science elective catalogues for master's programs in the above-mentioned fields of study, among others Supervision
-
sciences and artificial intelligence, and translate your findings to improve human health? Are you excited to develop and use machine learning approaches to gain new understanding of the molecular physiology
-
readiness levels. Additionally, your work will directly support the FAIR-AI flagship project for the Austrian Artificial Intelligence Mission AIM 2030, ensuring your research generalises and gains high
-
and spectroscopic data Development, implementation and application of methods for the analysis of data on dwarf galaxies Contributions to international collaborations (especially Euclid and ARRAKIHS
-
analysis tools – including digital twins, forecasting systems, load flow analysis, and transient simulations – to design an innovative planning and operational concepts for future power systems, such as grid
-
Enzyme production and purification in a yeast expression system Biochemical characterization (protein analysis and kinetic measurements) Fluorescence microscopy and electrochemical detection methods Small
-
integrating single-molecule fluorescence detection and microfluidics Implementation of data acquisition and analysis software (programming) Methodological innovation and biological applications Who Should Apply
-
combines computational analysis, evolutionary experiments and genomics, to gain a deep insight into how cancers adapt. Research projects in the Cresswell group are supported by the Austrian Science Fund (FWF