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Field
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Prior teaching experience Admission Requirements Completed master's or diploma degree in Computer Science or equivalent fields of study with a focus on Data Visualization or Human–Computer Interaction
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(particularly cognitive or applied psychology) Cognitive Science Human–Computer Interaction Engineering or Computer Science Health sciences Experience in empirical research, experimental design, data analysis
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 hour ago
realistic human and animal avatars for use in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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, but endogenous protective factors must be responsible, and these could have therapeutic value. Surprisingly, how SARM1 behaves in neurons in real time and what proteins it interacts with remain unknown
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microbiome, human genetic analysis and host-microbiome associations.During the PhD programme the student will spend three months at Origin Sciences, gaining invaluable experience working in an industry setting
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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, rehabilitation, and care. Common for all research areas within health sciences are human health on micro and macro levels, where the interaction between individual, interhuman and societal conditions are central
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore