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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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22.11.2020, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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vision, machine learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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to the translation of the four core optogenetic approaches to restore i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams
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tools. Our interdisciplinary research combines laser physics, nonlinear dynamics, and light–matter interaction, driven by fundamental scientific curiosity and long-term technological visions. We pursue
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advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 22 days ago
for Demographic Research, Germany, and the University of Helsinki, Finland. To achieve the Center’s vision of unearthing the pivotal social processes that generate health inequalities it leverages linked family
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 19 hours ago
Inequalities in Population Health is a major joint initiative of the Max Planck Institute for Demographic Research, Germany, and the University of Helsinki, Finland. To achieve the Center’s vision of unearthing
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking