Sort by
Refine Your Search
-
techniques. ● Perform biochemical analysis through kinase assay, Western Blotting etc. Data analysis and participate in manuscript writing for publication; may assist in grant writing. ● Perform
-
techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
-
and evolutionary biology or a closely related field. Experience with computational analysis. Experience in assembling and analyzing short-read data (e.g., Illumina) or long-read data (e.g., Oxford
-
imaging, and image analysis. ● Coordinate with collaborating laboratories and harmonize protocols. Data Analysis and Reporting: ● Analyze experimental data using statistical and bioinformatic
-
spectrometry-based proteomics, including data deposition and retrieval through the PRIDE (Proteomics Identifications) database, and in bioinformatic data analysis, including pathway and ontology enrichment (ORA
-
be shown. Preferred Qualifications: ● Experience analyzing genomic and/or metagenomic data using computational methods. ● Experience developing new approaches for the analysis of biological
-
Alzheimer's disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel data analysis methods
-
in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
-
in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
-
Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning