PhD/Data Scientist (f/m/d): Biomedical Image Analysis and Visualization (BB-22574)
Gefunden in: Neuvoo AT
Beschreibung:
Beschreibung
VRVis [http://www.vrvis.at] is seeking a skilled and creative mind, who is keen on a combination of cutting-edge research in deep learning and visualization software development, to join our successful team of researchers developing Deep Learning Solutions for Biomedical Image Analysis. The position is located within the Biomedical Image Informatics Group [https://bit.ly/2Ok2Nqy] at VRVis in Vienna, Austria. We undertake our research in close collaboration with our company partners and the Computer Graphics Research Unit at TU Wien, i.e. combining scientific and industrial environments into a vibrating research ecosystem.
Your responsibilities
You will perform applied research on the optimization of visualization and analytics of time dependent 3D ultrasound data. Your goal will be the development of novel machine learning - especially deep learning - based methods for improving rendering and framing of medical images within clinical settings. While being embedded in a supporting team of experienced visualization and deep learning specialists, you will work in close collaboration with our industry and academic partners.
Your work is characterized by a high level of independent problem solving and creative thinking, coupled with a good team spirit and excellent communication skills. Depending on your qualification, project management tasks and/or supervision of students may be assigned to you. As research institute, VRVis actively supports the publication of your excellent research results at scientific conferences and renowned journals. In case you do not yet own a PhD, there is the opportunity to pursue a PhD at TU Wien.
What you will bring to the team
Nice to have
What we offer in return
Application deadline: 31.03.2021
We especially encourage female candidates to apply! Therefore, in cases of equal qualification, preference is given to female candidates.
Please forward your application including CV, motivational letter, references to:
Franziska Steyer-Beerman (HR)
Eckdaten
Stundenanzahl: up to 40 h/Wochecalendar_todayvor 2 Tagen
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