3 parallel-computing-numerical-methods Fellowship research jobs at University of California
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interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python
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, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
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, including differential scanning calorimetry (DSC), drop-solution calorimetry, acid-solution calorimetry, isothermal titration calorimetry (ITC), or related thermochemical methods. Experience with
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