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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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quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work collaboratively in
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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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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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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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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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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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. 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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the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing
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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