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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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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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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
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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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groups are strongly encouraged to apply. Your Tasks: Development and application of algorithms for modelling, evaluation and visualization of ultrafast processes Investigation of ultrafast dynamics in
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, psychophysiological measurements (e.g., EMG), eye-tracking and devices for the presenta-tion of visual, olfactory and auditory stimuli •Working environment at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU
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. This project focuses on unravelling the origin of the elevated corrosion rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity
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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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processes in the Baltic Sea region, experience in the visualization and scientific analysis of large climate datasets, and confident communication in English. What does the IOW offer? The IOW offers you a
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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