Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Graz University of Technology
- University of Innsbruck, Institute of Computer Science
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Nature Careers
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University of Vienna
-
Field
-
Computer Science• Distributed systems (Cloud, Edge)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other
-
Your profileYou are enthusiastic about developing and investigating innovative research ideas and systems within the discipline of distributed systems? You have a master’s or equivalent degree in
-
Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 2 days ago
machine learning models for detecting subtle, clinically relevant changes in arthritis imaging. Create robust algorithms for longitudinal disease monitoring and treatment-response prediction. Build a
-
at the Institute of Visual Computing, course on Fundamentals of Geometry Processing, or Data Structures and Algorithms. Co-supervision of bachelor and master thesis. Research and development
-
Computation was founded in 1992 to research fundamental problems in information processing, such as the design of computer algorithms, the complexity of computations and computational models, automatic
-
part of an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team
-
an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in
-
, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
-
, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic