Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-Life, Multi-Modal Data’ as Ph.D. Visual Data Analysis. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department of Cardiology at the Medical University
-
scientific environment and a great working atmosphere. Aim is the development of novel metal-based radiopharmaceuticals for the diagnosis and therapy of cancer. This interdisciplinary and application-driven
-
the design and synthesis of covalent chemical probes and drug candidates. The foundation for the development of these molecular tools are the establishment of tailored reactive elements ("warheads
-
, processing, analyzing and visualizing large-scale, complex data. The research area of Computational Communication Science includes, for example, agent-based modeling and simulation, network analysis, automated
-
analysis strategies including phospho/proteomics and metabolmics, selected cell culture and animal model systems as well as clinical samples will be investigated. Your future tasks: Active participation in
-
Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
-
microscope. Your future tasks: Your responsibilities include advising on study design and sample preparation, imaging analysis of samples, collaborative data analysis and contributing to grant and manuscript
-
to meet modern scientific and didactic standards. Advancing teaching and assessment formats, particularly in the use of AI-supported methods for creating laboratory reports as a key component of learning
-
on social development in older age. In addition to the content-related fit, sound knowledge in the analysis of longitudinal and experience sampling data is explicitly expected. The tasks include
-
limited to 3 years, with the possibility of subsequent permanent employment. Your tasks will be: You will support the analysis of structure-function relationships in microbiomes from environmental and