Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Graz
- Graz University of Technology
- Nature Careers
- University of Vienna
- Academic Europe
- Medical University of Innsbruck
- University of Innsbruck
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Institute of Science and Technology Austria (ISTA)
- Institute of Science and Technology Austria - ISTA
- MedUni Vienna
- Paris-Lodron-University Salzburg
- Pro2Future GmbH
- Technische Universität Wien
- Universität Innsbruck
- Universität Wien
- Vienna Textile Lab
- WU Vienna University of Economics and Business
- 8 more »
- « less
-
Field
-
, with possibility of one extra year extension. ROLE WITHIN THE RESEARCH PROJECT Microscopy of fluorophore tagged transcription factor localization upon different stimuli Development and optimization
-
, clustering) Comfort with statistics/ML (statistical tests, regression models, regularization) General understanding of cancer biology (tumor evolution, aneuploidy/CNAs, resistance development) What we offer A
-
of cancer biology (tumor evolution, aneuploidy/CNAs, resistance development) What we offer A fully funded position according to the collective labor agreement for Austrian PhD students, with English as the
-
23 Jan 2026 Job Information Organisation/Company University of Graz Department Department of Business Education and Development Research Field Other Researcher Profile First Stage Researcher (R1
-
. Candidates should have expertise and interest in one or more of the following areas: Design and execution of user studies addressing visualization research questions Development and maintenance
-
research experience, as well as an array of soft skills relevant to project management, research management and career development. Where to apply E-mail recruitment.dyeanotherway@tuwien.ac.at Requirements
-
of soft skills relevant to project management, research management and career development. Where to apply E-mail recruitment.dyeanotherway@tuwien.ac.at Requirements Research FieldChemistry
-
development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
-
on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine
-
and congresses, further training) Your profile Completed relevant Master's, Magister or Diploma degree in architecture in-depth knowledge of digital design methods and the development/application