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Assurance and Insurance, Quantum Trust, Privacy-preserving Machine Learning, Privacy-preserving Multi-party Computation, Verifiable Computation, Trustworthy Systems, Adversarial Machine Learning, Assessing
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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framework that translates evolutionary insights into synthetic biology and redefines the limits of metabolism. Find out more about Osipova lab here About the role We are looking for a highly motivated postdoc
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investigates failure in digital ventures: how and why digital startups stagnate and shut down, what their founders learn from the experience, how they narrate it, and more fundamentally what kind of knowledge
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Researcher (R2) Positions Postdoc Positions Application Deadline 2 Oct 2026 - 17:00 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas. • Experience with writing and developing
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Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on cybersecurity that leads
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connectedness of a think tank. The Institute is an exciting, fast-moving environment for a motivated and quick-learning applicant looking to pursue a career in policy research. Our team spans a wide range of