Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- University of Vienna
- Universität Wien
- Graz University of Technology
- Johannes Kepler University
- Academic Europe
- Medical University Innsbruck
- Paris-Lodron-University Salzburg
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- AIT Austrian Institute of Technology
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Graz Medical University
- MedUni Vienna
- Medizinische Universität Wien (Medical University of Vienna)
- Pro2Future GmbH
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University of Innsbruck
- University of Salzburg
- academy of fine arts vienna
- 11 more »
- « less
-
Field
-
computing. These include computer graphics and geometry processing, computer vision and image processing, visualization and visual analytics, augmented and virtual reality, machine learning and deep learning
-
learning, the candidate will support the research team in designing, implementing, and evaluating prototype solutions that identify instrumentation points and generate and extend instrumentation code and
-
these insights into therapeutic strategies. Our lab combines cutting-edge in vivo imaging, electrophysiology, and computational modeling with multiomics to bridge mechanistic understanding from the neuron
-
present within research groups. This position addresses the growing need for expertise in image processing, deep learning, and structural bioinformatics, particularly within the context of cryo-electron
-
using image processing and physical modeling Expansion of the mechanistic understanding of bubble coalescence with the aid of a microchannel Cooperation and expansion of the evaluation software in
-
or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. • An excellent
-
. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing
-
; Machine Learning• Clinical pathways and decision support for patients with acute chest pain• AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis• Speaking
-
or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems
-
implement algorithms for image processing and analysis of multisensor data (RGB, LiDAR, hyperspectral). Design and implement explainable AI (XAI) models for the detection and quantification of grape berry