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applications. Experience with NGS data analysis, machine learning models, and statistical genetics. Familiarity with cloud computing platforms (AWS, Terra, DNAnexus, Google Cloud). Knowledge of genomic
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual
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The Faculty of Engineering, Department Elektronica en informatica, research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher. More
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, heat, hydrogen) at multiple spatial and temporal scales. These infrastructures form the technical backbone of the digital twin platform and enable scenario-based assessment of system reliability
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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infrastructure, cloud computing, or digital sovereignty Excellent communication and collaboration skills in English Basic understanding of quantitative methods (e.g. multiple regression) Additional selection
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diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/ Essential Job Duties Assist graduate students, postdocs, and research staff with bioinformatics/computational
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. Familiarity with high-performance or cloud computing (Slurm, AWS, GCP). Technical Knowledge or Skills: Background in high-dimensional or spatial statistics. Familiarity with tidyverse, Bioconductor, scikit
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. Performs integrative analysis of data from multiple sources. Develops software and visualization tools that embody analysis results for use by partners and general users. Works with internal and external