222 postdoctoral-image-processing-in-computer-science-"EPIC" positions at University of Vienna
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: The successful applicant will work in a stimulating scientific environment, the Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University
-
program in Intercultural Philosophy of Religion and of the Research Center “Religion and Transformation in Contemporary Society”. Active participation in the “Vienna Doctoral School of Theology and Research
-
(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent
-
passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your working environment: The postdoctoral researcher will join
-
experience, including experience in digital documentation, interpretation and reporting. Knowledge of digital image processing and geographic information systems (preferably QGIS) is desirable. You will have
-
narratives and actions for a sustainable future. We are seeking a senior Hub co-coordinator who shares this vision—someone who sees the bigger picture, a team player who aims to make a meaningful impact by
-
) are studied as prototypical forms of transcultural communication since both the translation process as well as its ensuing product are characterised by a huge degree of hybridity and diversity. The Centre
-
Faculty of Business, Economics and Statistics Job vacancy starting: undefined..undefined | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: Job ID
-
organisational questions and administrative processes. You will implement and design strategic programme planning, support and further development together with the management team. You will support the management
-
the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks