Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
-
At the University of Vienna, more than 10,000 people work together towards answering the big questions of the future. Around 7,500 of them are scientists who, with their curiosity and continuous
-
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
-
) Limited contract until: 31.08.2029 Job ID: 4386 Are you interested in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing
-
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
-
are currently looking for PhD candidates for 5 different research topics. The position advertised here focuses on affordances of open science infrastructures. Data sharing is central to contemporary science. As
-
Prof. Dr. Nikolaus Forgó and take over tasks such as working in research and administration and participating in the teaching activities of the institute. Our research focuses on data protection, AI law
-
. The focus of our research is Visualization and Data Analysis. Our Team VDA currently consists of 10 members: a post doc, prae docs and administrative colleagues. What makes us special as a team is a close
-
solutions and data processing pipelines for computational modeling, including data analysis and preparation of results for publication. You sign a doctoral thesis agreement within 12-18 months and complete
-
routine maintenance, troubleshooting, and setup of instruments within the Mass Spectrometry unit of the Research Support Facility. • Supporting data analysis for collaborators and optimizing sample