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Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo
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to a range of new imagebased technologies that is rapidly changing society. Despite these advances, the potential for deep learning and machine learning solutions for image processing is vast, especially
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address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis involves tightly coupled cellular dynamics, mechanical forces, and gene regulation
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for studying language behavior (time-course and quantity of gaze/eye-movements), neuro-physiology of language processing in the brain and neuro-imaging. One of the main responsibilities of the postdoc will be
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. The first is to identify what aspects of bilingual experience (e.g., frequency/intensity of language engagement, duration of bilingual experience, etc.) affect adaptations in specific cognitive processes and
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cancer phenotypes, and their potential prognostic value. The project involves cancer cell culture, various molecular and cell biology techniques, chromatin analysis methods, and microscopy imaging. We use
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examples to guide and prototype the development Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in applied and computational mathematics, scientific