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100%, Zurich, fixed-term The Advanced Manufacturing Lab (am|z) at the Department of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced manufacturing methods and systems
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heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and
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to manage multiple projects in parallel. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy, including the ability to use a variety of
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considered are chitosan and gum arabic, well-known substrates at LIBio, acting as a polycation and polyanion, respectively. The peptides will either be commercial or derived from parallel projects within
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focused on the optimal utilisation of advanced RF sensors that are capable of performing multiple roles, either sequentially or in parallel. The UCL Radar Group hosts one of the few demonstrator systems
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handling. Analytical, reasoning and problem-solving skills. Ability to work in an intense and deadline-focused environment. Ability to manage multiple projects in parallel. Ability to analyze and interpret
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limited to the following: Coordinates high volume, high patient acuity discharges, including complex, interdependent scheduling of multiple appointments across multi-specialties for procedures, treatments
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and structuring work, managing deadlines, and working in parallel with multiple projects Strong collaboration skills and a clear communication style Great emphasis will be placed on personal suitability
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limited to the following: Coordinates high volume, high patient acuity discharges, including complex, interdependent scheduling of multiple appointments across multi-specialties for procedures, treatments
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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural