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researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. Research Assistant/PhD Position – Computer Architecture (f/m/d
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for Preventing Stomach Cancer 18.03.2026 The order of the quantum world 18.03.2026 150 Years of Electrical and Computer Engineering at TUM RSS Todays events no events today. Calendar of events Find more topics on
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the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
neuroscientists and computer scientists to advance understanding of neural coding and circuit dynamics while contributing to publications, presentations, and mentorship within a highly collaborative research
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background in modelling, interested in thinking about the sea and the plankton which live there. There are dedicated funds for computer equipment, and travel to support you in your scientific work. If you are
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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for building Data+AI systems. Wring research papers of high quality based on research results Building deployable Data+AI systems based on the research results. Job Requirements: Preferably PhD in Computer
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded