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pertaining to retinal and macular degenerative diseases. The lab is working towards understanding the role of non-coding cis-regulatory sequence variation in context of retinal diseases. The lab generates
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National Taiwan Normal University | 2 months ago
similar is required 2. Expert familiarity with at least one coding language 3. Solid mathematical background, including ordinary differential equations (ODEs) 4. Some knowledge of numerical methods for
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, and object information. Design, implement, and evaluate computational models and reproducible analytical pipelines. Validate automated behavioral measures against expert human coding standards. Develop
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bioinformatic challenges pertaining to retinal and macular degenerative diseases. The lab is working towards understanding the role of non-coding cis-regulatory sequence variation in context of retinal
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/coding, working with sensors, electronics, and system automation. Experience with hydroponics and/or growing plants Familiarity with extracting and analyzing plant-derived chemicals with mass
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proficiency in economic analyses through peer reviewed publications (including works that are under review, in press, or published). Strong coding skills in R, Python, or similar languages. Excellent
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appointee will also learnthe fundamentals of clinical informatics and different medical data formats (DICOM ect). Training : The appointee will receive training in project-relevant coding languages
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modern ML architectures Experience with open-source software development and collaborative coding Familiarity with carbon markets Experience with Google Earth Engine Position Details Appointment: 1
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should have completed an MPH or an equivalent degree. The ideal candidate will have expertise in coding in R/RStudio, analysis of large data sets, prior experience with infectious disease modeling
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• Previous knowledge about nanopore experiments, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic