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reproductive sciences and are expected to show clear evidence of innovation and excellence in their fields. Investigators with a research program involving the use of lab space will have their primary
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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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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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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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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- Quantum Reinforcement Learning, quantum computing, QKD - quantum key distribution, entanglement distribution System-level design and optimization AI & Intelligence: Agentic AI, Edge AI, information
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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established Systems Neuroimmunology Laboratory at LMU Munich (www.m-kaufmann.com ) is seeking a motivated and creative PhD candidate passionate about combining immunologic methods and advanced computational