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elaboration of the results What you bring to the table You are studying an engineering degree program (e.g. mechanical engineering, materials engineering, materials science) and have basic knowledge of additive
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Specialization: Computer science, cybernetics, mathematics, technical computer science or comparable. Industrial companies face unique challenges when utilizing generative AI, such as the risk of
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or computer engineering, mathematics, physics Profound knowledge in the field of digital signal processing Theoretical and practical knowledge regarding composition and handling of neural networks using PyTorch
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⦁ Develop Methods for defect detection and classification What you bring to the table ⦁ Currently enrolled in computer science, sensor systems, or a comparable field ⦁ Profound knowledge
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to the table – enrolled in one of the following or related fields of study: Data Science, Electrical and Information Engineering, Physics, Aeronautical and Automotive Engineering, Computer Science, Mathematics
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MASTER THESIS MONOCULAR DEPTH ESTIMATION FOR AUTONOMOUS DRONES USING DEEP LEARNING & COMPUTER VISION
develop cutting-edge methods for monocular depth estimation, which will be applied in the environment perception of autonomous drones. What you bring to the table student of Computer or Data Science