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. You will explore versioning strategies, provenance tracking, conflict resolution, and reliability scoring to build a continuously improving product knowledge base. Progressively integrate additional
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, or another relevant area of expertise. The successful candidate is expected to have a profile along one of the following lines:1) Strong quantitative background with skills in causal inference or other
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approach to map metabolic pathways of the grapevine and infer a virtual grapevine phenotype/physiological feature space model.; - Explore computational methods and genome-scale metabolic models to apply
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bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1: Fiber-based soft
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. We take a bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1
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. Proposals should include the development of data sets and methodology to track topics such access to services, use of allied health and other supports, financial hardship, hospital admissions and transition
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individuals with type-2 diabetes. Research Topic Our group aims to track microbe-microbe and host-microbe interactions within longitudinal human gut microbiota datasets. Your role You will be responsible
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of graduate and undergraduate students.Qualifications - Ph.D. in Polymer Science, Physics, Chemical Engineering, Materials Science, or a closely related field. - Proven track record of research excellence
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of graduate and undergraduate students.Qualifications - Ph.D. in Polymer Science, Physics, Chemical Engineering, Materials Science, or a closely related field. - Proven track record of research excellence
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g