For any questions, do not hesitate to ask: Dr. Ulrik Günther Tel.: +49 3581 37523 61, Dr. Michael Bussmann Tel.: +49 3581 37523 11
Place of work: Görlitz
Working hours: 19,5 h/week
Deadline: 2 January 2023
Online application English / German Job-Id: 2022/232 (1584)
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Helmholtz-Zentrum Dresden-Rossendorf Bautzner Landstraße 400 01328 DresdenPhD Student (f/m/d) Combining Human and Computer Superpowers for
Interactive AR/VRIXR Data Analysis in Systems Biology
Through cutting-edge research in the fields of ENERGY, HEALTH and MATTER, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) solves some of the pressing societal and industrial challenges of our time. Join our 1.500 employees from more than 50 nations at one of our six research sites and help us moving research to the next level!
The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. CASUS was founded in 2019 in Görlitz and conducts digital interdisciplinary systems research in various fields such as earth systems research, systems biology and materials research.
The Department of Systems Biology in collaboration with the Junior Professorship for lmmersive Media at TU Dresden is looking for a PhD student (f/m/d) Combining Human and Computer Superpowers for Interactive AR/VRIXR Data Analysis in Systems Biology excited about exploring the possibilities of combining natural user interfaces (e.g. via eye tracking) with machine learning-based approaches for interactive data analysis in Systems Biology. The position will be available from 1 February 2022. The employment contract is limited to three years.The Scope of Your Job
Recent developments in Systems Biology, such as the advent of Lightsheet Fluorescence Microscopes (LSFM) or CryoEM, have led to an unprecedented availability of large, spatiotemporal biological data, e.g. in the form of 3D/4D microscopy images or transcriptomics data. These data are often analyzed in an automated manner. However, algorithms might not always yield optimal results, which again leads to the necessity of a manual cu ration step. With the Bionic Tracking project, we have already started exploring the applicability of eye tracking-based interfaces in VR to aid 3D/4D cell tracking. In this project, we want to investigate the coupling of such interfaces with machine learning-based approaches, in order to make common tedious tasks such as cell tracking faster and more accurate.Your tasks:
A vibrant research community in an open, diverse and international work environment
Scientific excellence and extensive professional networking opportunities
Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) only via our Online-application-system.
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