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Field
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to the table You study computer science, electrical engineering or a similar subject. Good programming skills in Python Knowledge in deep learning Experience with object detection algorithms, e.g. Yolo or Faster
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Your Job: As part of your work, you will support the development of sustainable strategies for the establishment of a regional bioeconomy. You will work with current methods of linear optimization
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supervise students in the preparation of their bachelor’s or master’s theses. What you bring to the table Above-average academic degree in electrical engineering At least 3 years of professional experience
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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between different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science as well as physics, optics and manufacturing
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work in state-of-the-art laboratories and clean rooms. The role involves working in a cryogenic laboratory environment and following specific clean room protocols Master`s degree in physics or electrical
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electrolysis. As an MSc student, you will design and implement a suite of AI “agents” (autoencoders, statistical models, LSTMs and LLM-based rule engines) that process historical and live sensor data (voltage
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course at a Tunisian university. Applicants have the choice between the following host institutions: Technische Universität Chemnitz Faculty of Electrical Engineering and Information
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at conferences and seminars Stay current with relevant literature Your qualifications Strong track record of scientific accomplishments is essential Prior hands-on experience in cell culture, biochemical assays
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applicants must have obtained an outstanding doctoral degree in disciplines such as physics, mechanical or electrical engineering, biotechnology or equivalent fields and a proven record of high-level research