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Field
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superconducting qubits. The successful candidate will participate in all stages of these experiments, from initial concepts to device fabrication, measurements, data discussion and analysis. The successful
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics
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LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X
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analyses and write-ups for the study alongside the Data Coordinating Center. Mentorship of junior team members, including graduate students and staff. Analysis and write-up of papers from already collected
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) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use personal protective equipment as per lab requirements. Lab and Data
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. Experience in Electrophysiology recordings in vivo in rodents Experience in Electrophysiological signal analysis Papers published from the PhD Desirable criteria Knowledge of the cerebral cortex Ability
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mechanisms through reaction kinetics analysis and other physical organic and inorganic techniques Perform detailed in situ / operando studies of catalysts using X-ray Absorption and Emission Spectroscopies
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Fixed-term: The funds for this post are available for 36 months in the first instance. We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or