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Field
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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You should hold (or be close to completing) a master’s degree in chemistry, chemical engineering, electrochemistry, materials science or a closely related discipline A background in electrochemistry
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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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and types for enabling DAC scaling Comparison of policy requirements for FOAK and NOAK DAC systems Your Profile Very good academic performance in a master’s program in engineering or economic
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and aggregation. The applied methods include protein engineering as well as various spectroscopy, scattering, biosensing and microfluidics techniques. We work on a range of protein systems the
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electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including experience in
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Engineering tackles contemporary and emerging challenges for the built and natural environment, ranging from resource utilisation, pollution and climate change to digitalisation and inequality. We combine
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innovation and scientific independence are encouraged. The group is embedded within ICMM, providing access to outstanding facilities for human and mouse embryology, advanced microscopy, genome engineering
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limited support for academic and administrative activities of the Chair Profile An excellent Master’s-level degree in Engineering, Applied Mathematics, Operations Research, Economics, Industrial