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(TUM), Campus Heilbronn. We seek exceptional candidates excited about graph drawing, network visualization, and information visualization. The specific research focus can be chosen by the applicant based
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. The group’s work in this area has led to best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum
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transport in N-Heteropolycycles with novel ultrafast microscopy methods (Dr. Julia Anthea Gessner) For more information, please see our website: Research in our group focuses on Ultrafast Dynamics in
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how the brain collects audiovisual sensory information to create a multi-sensory perception of the environment. The central question is what criteria the brain uses to de-cide whether sensory
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rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity upon metal contact with an aqueous electrolyte. For this, in situ
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developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory, infectious
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field data (e.g., from WWF initiatives). Present research results at conferences and publish in peer-reviewed journals. Contribute to broader SEAGUARD and ISOLUME project goals and knowledge exchange with
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visualize the IAM2d in a suitable simulation environment, preferably Python, and to calibrate and validate it on naturalistic and experimental data. Ultimately, the IAM2d will be evaluated in various low
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Objects and Visual Studies” doctoral program of the BerGSAS, https://www.berliner-antike-kolleg.org/en/bergsas/index.html We welcome applications from highly qualified graduates from the fields