526 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"KU-LEUVEN" Fellowship positions in United States
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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computational methods for cancer pangenomics using long-read sequencing data. Through TGen's Collaborative Sequencing Center (CSC), we have access to in-house PacBio Revio and Oxford Nanopore PromethION platforms
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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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of the following: chronic neural recordings in freely behaving animals, high resolution behavioral tracking, optogenetics, and data analysi.. All candidates must have received a Ph.D. in a relevant
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opportunity to collaborate with other researchers affiliated with the Institute of Data and Analytics (IDA), Alabama Mobility and Power (AMP) center and Alabama Transportation Institute (ATI). This position
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candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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and Asia. This position offers an excellent opportunity to strengthen skills in primary data collection, advanced statistical analysis, evidence synthesis, proposal development, and scientific writing