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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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levels engage in collaboration with industry and authorities. investigate sensory properties and their correlations to chemical, physical or other relevant properties/conditions use multivariate
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up. Proven leadership in
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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-specific needs, but include: site evaluations or modeling, project coordination, interviews, data collection and/or analysis. Connections to professional practice and to emerging technology and ideas in