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worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term contract Fixed Term Period: For 18 months Salary: Full time starting salary (if PhD is obtained) is normally in
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. Further funding to support the post may be available. About you Applicants should have a PhD (awarded or imminent) in Electronic/Electrical Engineering, Biomedical Engineering or a closely related
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the IDS with in-network access control and policy enforcement. The role also involves collaboration with AI researchers integrating the in-network IDS with endpoint AI detection and agentic response models
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
their expertise to emerging human experimental models. Bioengineering and Platform Technology We seek an engineer to develop technologies for operating, controlling, manufacturing, and scaling human
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industrial partners. About You You will have a PhD (or close to completion) in a relevant subject, such as robotics, electrical/ electronic engineering, mechanical engineering, control engineering, automotive
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powder bed fusion system, focusing on automation and control aspects of this novel machine and the implementation of an in-process monitoring system. This role is central to our efforts to push the
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understanding and ultimately controlling these interfaces, we will enable the development of advanced energy systems and electronic devices, including high energy Li/Na batteries, all-solid-state batteries
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and proteomic profiling. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within neurobiology/ tumor biology, or equivalent in a relevant field of
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verified reference monitor on top of seL4 for the secure containment of AI agents. We will develop new mechanisms for dynamically controlling agents’ capabilities and information flows, together with machine
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. Qualifications and personal qualities: Applicants must hold a PhD or equivalent doctoral degree within atmospheric physics, meteorology, climate science or machine learning. PhD-students may apply if defence of