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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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level Basic knowledge in at least one of the following areas: computer graphics, computer vision, or machine learning / neural networks Programming experience in Python; knowledge of PyTorch is a plus
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans’ and animals’ shape
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:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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Scientific Assistant (f/m/d) Junior Helmholtz.AI Consultant / Completed university studies (Bache...
) Junior Helmholtz.AI Consultant. Your tasks # Design, Test, Training, Evaluation/Benchmarking and Use # of computer vision-based AI systems # of tabular-data based AI systems # Presentation and
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another relevant technical discipline. Strong background in computer vision, machine learning, and deep learning. Experience with geometric deep learning or graph neural networks is highly desirable. Strong
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passionate about AI research and eager to make a real-world impact, we want to hear from you! Your Job Work on a wide range of computer vision and machine learning methods and applications focusing