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innovative soft materials and structures to endow robots with embodied intelligence and rich interactive functionalities. In parallel, we adopt biologically inspired control and learning strategies that enable
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, translational, and experimental approaches. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute
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. Proficiency in spoken and written English Demonstrated expertise in one or more of the following areas: genome integrity, stem cell culture, quantitative and live-cell microscopy, or bioinformatics We offer Two
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degree (see notes below) in Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in
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external partners Conduct CRISPRi-based pathway perturbation assays Analyze and interpret complex molecular datasets in close collaboration with bioinformatic experts Contribute to scientific publishing and
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- cancerous- and neurodegenerative diseases. In the project, patient cells, model- and reporter-minigenes, gene editing and animal models, as well as in vitro RNA binding techniques and bioinformatics will be
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sound, with human speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including