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, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
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intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
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results, imaging (e.g., X-ray, CT, MRI, and PET), clinical guidelines, and coding resources. Such systems can support clinical decision-making by helping clinicians synthesize heterogeneous clinical
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environment Qualifications The successful candidate will have some of the following qualifications: Master or PhD in physics, photonics engineering, or related. Proven coding experience in scientific