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personal language learning assistants (1 year) and AI security (1 year). Furthermore, there will be the possibility to gain experience as a co-supervisor for PhD students associated with these projects, and
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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Safety. Expertise in studying vertebrate morphology with 3D imaging in an evolutionary context is essential to the project. Other skills relevant to the project (e.g., 3D biomechanical modelling and
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You will assist in all stages of the research. This includes collection and analysis of empirical data and implementing Good Research Practice and Health and Safety. Expertise in biomechanics empirical
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attacks specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in
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. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT
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approaches, and communicate research findings. Strong scientific writing, communication, organizational, and collaborative skills. Minimum Qualifications PhD in medicinal chemistry, pharmaceutical sciences
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for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems
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protocols; design safety procedures; adapt new procedures, methods or instrumentation relative to research procedures. Collect, prepare and analyze research data; keep a detailed notebook summarizing
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statistics advisor to other junior lab members, and contribute to the collective intellectual development. A PhD degree in Statistics or a related field is required. To apply, please submit CV, cover letter