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transformation in bacteria – an important mode of horizontal gene transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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novel method for autonomous design of 3D shapes fitting to the user body and optimizing the design to the desired assistance. Apart from actively shaping our group's research, the positions include
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Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential for promoting our
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Dynamics group, where 2 PhD students work on developing lipid biomarkers for soil fertility. Propose your own research approaches to answer previously outlined research questions. Methods used in the group
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including
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We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the research area of converter topologies and modulation strategies
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at devising innovative testing approaches to investigate the failure of elastomers. The goal of the PhD project is to develop cutting edge experimental procedures involving X-Ray computed tomography (CT
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thermal evaporation, magnetron sputtering, spin-coating, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. In line with our values , ETH
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in collaboration with an industrial implementation partner, who will provide support with hardware and software integration. Job description The position entails duties in three axes: (1) research, (2