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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
the development of GISAXS data analysis methods and is responsible for analyzing the data obtained. The postdoc will also prepare and characterize the thin films studied using e.g. spin coating and AFM. The optimal
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video-based CHD biomarkers. You will work closely with clinical domain experts to define and evaluate AI models. You should hold a relevant PhD/DPhil (or near completion) in medical video analysis
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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD awarded or near completion
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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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neuroscientists and computer scientists to advance understanding of neural coding and circuit dynamics while contributing to publications, presentations, and mentorship within a highly collaborative research
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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database. The postdoc will be under the direct supervision of Laura Dugué, PI of the ERC Consolidator project SAMPLING. Activities will include: Computational modeling Data analysis Toolbox development Data
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will be based in a research laboratory environment with standard laboratory conditions. Must be able to work at a computer for extended periods for data analysis, molecular modeling, and manuscript
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equivalent. Experience in computational biology or bioinformatics research required; proficiency in Python and/or R required; experience with genomic and/or transcriptomic data analysis required; familiarity