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Field
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: - electrochemical impedance spectroscopy; • fundamental materials science, including: - Mechanical and microstructural characterisation of ceramics You should have significant experience
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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characterizations, and models that are suitable for nuclear fuel performance codes. Knowledge and experience of x-ray computed tomography, mechanical testing, and finite element modelling is desirable. Major Duties
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: - electrochemical impedance spectroscopy; • fundamental materials science, including: - Mechanical and microstructural characterisation of ceramics You should have significant experience
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photo-responsive synthetic cells containing protein machinery. The project involves the synthesis of synthetic transport systems for amino acids, photochemistry and fabrication of responsive synthetic
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skills and experience: Essential criteria PhD awarded in Neuroscience At least one first-author publication in a scientific journal Proven postdoctoral research experience Extensive experience working with
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. Safe and Certified Control for manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration. Qualifications: Applicants must have a PhD
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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potential to uncover new mechanisms governing the fundamental biological process of gene expression. The planned research, funded by an HFSP Research Grant, is a close collaboration between the Wrobel Lab
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’ s internationally visible and highly competitive research is focused on understanding the mechanisms of aging and associated age-related diseases. Scientists from over 40 countries are currently