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information about our application process Please send your application only via our online application tool and with the following documents: CV Cover letter Degrees/Diplomas/Certificates Contact details
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Background: You are currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A solid understanding of digital logic design and hardware
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research projects. The focus is on developing and adapting methods that can find defects in high-resolution image data. You will support the project team in researching and implementing new approaches and
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control system and a data evaluation unit. Your internship tasks will include the design, construction, and implementation of the test setup in collaboration with the project team. What you bring
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Evaluate the applicability of developed methods for real-time adaptive manufacturing data What you bring to the table Enrollment in Mathematics, Computer Science or a related discipline Solid knowledge
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at Heidelberg University, in particular connecting classical and quantum field theory and complex systems theory with analysis, combinatorics, geometry, information theory, or stochastics. The new professor will
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firmware modules and perform testing within the overall system What you contribute Enrollment (B.Sc./M.Sc.) in Computer Science, Machine Learning, Data Science, or a related field at a university in Berlin
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and analysis of samples Scientific research and preparation of research data Collaboration in process planning What you contribute Current studies in engineering or natural sciences Strong technical
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scalable database of sensor and process data is being created, which serves as the basis for ML models for component segmentation, strategic path planning and process optimisation. The aim is to enable data
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datasets that will then serve as training data for neural networks, which are being developed to allow for quick, precise and label-free classification of blood cells. Your tasks will include: Preparation