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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join an ongoing project
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with biological specimens Experience with artificial intelligence and machine learning analytical methods How to Apply Submit application package as a single document to: [email protected]
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analysis, trial emulation, interrupted time series, machine learning) is highly desired Have a strong publication record in reputable, peer-review journals Excellent oral and written communication skills
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analysis, trial emulation, interrupted time series, machine learning) is highly desired Have a strong publication record in reputable, peer-review journals Excellent oral and written communication skills
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also looks to leverage large amounts of monitored data to develop machine learning models that would aid in tighter control of the water treatment processes. The developed models will focus on reducing
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: Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis Next generation sequencing and bioinformatics analysis Machine learning/AI Analyzing data and presenting the data in reports
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Next generation sequencing and bioinformatics analysis Machine learning/AI Analyzing data and presenting the data in reports, publications, and presentations at local and international conferences
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strong quantitative skills, familiarity with computer programming, and documented organizational abilities. An excellent publication records is desirable, as well as a willingness to learn about large
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, TLC skills (desirable) Good basic bioinformatic and general computer skills (PyMOL, Chimera, AlphaFold, DiffDock, Graphpad Prism), and proven ability to learn and apply new skills (essential) Excellent
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issues in a pediatric population, qualitative and quantitative research methodologies and statistics. The successful candidate will have a high level of computer literacy, general knowledge of grant