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conduct data processing and secondary data analysis in collaboration with Chief and Associate Investigators. Produce high-quality research outputs, including peer-reviewed publications and conference
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scale. The successful candidate will be responsible for: safely shredding cells using a bespoke instrumented, stabilised shredder; recording data for LCA including mass and energy balances, energy and
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threats (prompt injection, data leakage, tool misuse). • Design identity and authorization for AI agents (authenticated tool use, secure delegation, cryptographic logging). Key responsibilities • Lead
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Max Planck Institute for Comparative Public Law and International Law, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 7 days ago
academic referees Contact information For inquiries about the group or the position, please contact Dr Carolyn Moser or her assistant Rocío Bargon Sánchez at ensure@mpil.de .
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope you will
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for excellent and motivated candidates with expertise in Logics for Multi-agent Systems. The postdoc will join the Data and Knowledge Management (DKM) group at the Department of Informatics. The research in
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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funding, the Centre brings together a vibrant community of biomedical scientists, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and