Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to the Imaging Core Facility. Our wide range of imaging capabilities, from macroscopy and confocal microscopy to electron microscopy, supports this breadth. You will be part of a team that works across the full
-
by science and its rapid progress? Are you intrigued by ever-improving microscopes and the images they provide? Are you passionate about interdisciplinary research? Do you want to contribute your
-
visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks
-
for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol Observatory” instrumentation, and
-
in a team and on interdisciplinary research projects. Knowledge of image-based modelling and geographic information systems (preferably QGIS) is desirable. During the initial period, you must
-
expertise in advanced fluorescence imaging (e.g. fluorescence in situ hybridisation), chemical imaging (e.g. stable isotope tracing coupled with NanoSIMS), and meta-omic analyses, as well as extensive
-
for the diagnosis (nuclear imaging) and therapy of cancer (theranostics). The novel compounds will be assessed first in vitro (cells) and then in vivo (mouse model). You have previous knowledge in the areas of radio
-
biology, biochemistry, genomics and advanced imaging approaches in budding yeast and mammalian experimental systems. The successful candidate will actively contribute to ongoing research while taking
-
Coding skills (Python, MATLAB, R, Linux/Bash) Very good English and German skills (B1) Team player with strong social / communication skills Coding skills (SPSS, JASP, R) Very good English and German
-
analyze three-dimensional motion capture data and medical images from various groups, including clinical populations, healthy people and elite athletes. Our goal is to improve clinical decision making in