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field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required. Experience
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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infertility, pregnancy, lactation and developmental programming, urogynecology, artificial intelligence and machine learning are particularly encouraged to apply. The Department of Obstetrics and Gynecology
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diplomas. Qualifications and specific competences Applicants must hold a relevant master’s degree (120 ECTS) in Electrical Engineering, Computer Science, Machine Learning, Artificial Intelligence
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live in. Your role The researcher will join the team of Prof. Ivan Nourdin and contribute to an ambitious project at the interface of probability theory and artificial intelligence, whose goal is to
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imaging, with current emphasis on neurodegenerative diseases. The successful candidate will join an interdisciplinary institute working at the interface of computer science, artificial intelligence, and
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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transceiver design Hardware & waveform design: Reconfigurable intelligent surfaces, flexible antennas, power amplifiers, 6G waveform design including Orthogonal-Time Frequency Space modulation and Discrete
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approaches, including artificial intelligence (AI). The position is funded by the CRC1713. Please note the unique administrative setup: Place of Work: The research will be conducted in Munich at the Biomedical