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Medicine (Director: Prof. Dr. Daniel Rueckert) is seeking to fill PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from
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reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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Catholic University Eichstaett-Ingolstadt, MIDS Position ID: 3523-PHD [#27799] Position Title: Position Type: Other Position Location: Ingolstadt, Bayern 85049, Germany [map ] Subject Areas: Machine
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reliability and flexibility Experience in single cell/nuclei or spatial transcriptomics are preferable, but not required Experience in immunological techniques (e.g., flow cytometry) are a plus We are an
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with fault detection, system reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD
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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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an active student scene and a diverse cultural life. Within the framework of the GENAI-X project, we are looking for a highly motivated PhD Candidate in AI Methods for Hydro-Climatic Extremes (m/f/d) in full
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26749 PhD position in biomedical research (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
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Materials’ as well as ‘Adhesive Bonding Technology and Surfaces’. Research and development work is focussed on providing customers with reliable and application-oriented solutions. Products and technologies