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Field
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop key knowledge for an efficient energy transition through AI in
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on performance and funding. This position is part of the Provost’s Office Grand Challenges Precision Health Initiative , which supports transdisciplinary research and training to optimize health outcomes
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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-performance clusters are required. Knowledge, Skills, and Abilities: · Knowledge in advanced statistical theory and methods. · Strong optimization and computational skills to process large-scale
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knowledge of microfluidic automation, including actuators like pumps, valves, and electromagnetic components, along with heat transfer concepts. Familiarity with 3D printing or other rapid prototyping methods
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(AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes
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ongoing experiments and projects, ensuring reliable operation of attosecond and ultrafast laser systems and timely completion of milestones. Knowledge Curation and Transfer: Maintain and document technical
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and antigen expression for vaccine and diagnostic development.•Development and optimization of advanced immunological assays (ADE/ADCC) and yeast-surface display for antibody-antigen interaction studies
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Postdoc Appointment Term: 2026-2028 Appointment Start Date: Early 2026 Group or Departmental Website: https://med.stanford.edu/bronte-stewart-lab.html (link is external) How to Submit Application Materials
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and