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assays and animal work in addition to data analysis would be an advantage. Candidates who are particularly interested and motivated in progressing in their careers to the next level, such as enrolling in
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genetics/genomics, bioinformatics, machine learning, data mining, and computational programming, including software or package development. The ideal candidate will hold a PhD in bioinformatics or
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modeling, multimodal data fusion, interpretable machine learning, NLP, text mining, or automated extraction of materials data from the literature Experience with workflow automation, data infrastructure
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, ecology, microbiology, engineering, bioinformatics, data mining, parallel programming, supercomputing, or cloud computing. Application Instructions How To Apply Interested individuals should send
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network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will
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big-data lake ecology research using techniques from statistics and computer science (e.g., statistical modeling, machine learning, data mining). Knowledge of open science tools (e.g., Github, Zenodo
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, handling, and experimental work under strictly anaerobic conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis
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interactions in vegetated photovoltaic systems-in mining site. Duration: 12 months, renewable. Position Summary: We are seeking a postdoctoral researcher to join our team and contribute to an innovative
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-based modelling and computer simulation, network analysis, time series analysis, text and data mining Substantive interest in the areas of digital public spheres and political communication High ability
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multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different