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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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. What You’ll Do: innovate: develop scalable RPLD processes to fabricate REDS active mirrors collaborate: work with a dynamic team and engage in interdisciplinary research experiment: gain hands
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additional time off, plus a wide range of staff discounts on travel and more. Our health and wellbeing services, ongoing professional development opportunities, and inclusive, supportive culture make Deakin a
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core scientific areas, including wave dynamics, marine and environmental processes, and particle and pollutant transport, with fluid mechanics as the scientific backbone. A central component will be
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 8 hours ago
tumours, allowing advanced immunotherapies to reach and treat cancer. The Faculty of Pharmaceutical Sciences strives to enact this vision by supporting the optimization of drug therapy in pursuit
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. The successful candidate will work with Dr. Kennedy to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out research, the successful candidate will be
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of UCL's London Bloomsbury Campus. LMCB scientists explore the dynamic control of cells and their environment during development, physiology and disease using a range of model systems and advanced molecular
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design, manufacture, and validate metamaterial-based protective structures. Key objectives include: Building a computational framework that integrates explicit dynamic simulations, constitutive models
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Anderson Cancer Center. Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation
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and accelerate the development of more high-performing PNSEs. The ultimate goal of the project is to develop, implement, and validate novel deep-learning models for molecular dynamics and coarse-grained