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of induced pluripotent stem cell-based human disease models 2) Understanding the role of immunity during tumorigenesis as well as disease relapses in order to design novel inhibitors, CAR-T cell therapy and
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-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI. The appointment will be for up to two years with annual renewal based on satisfactory performance and continued
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2). Vascular network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering The Disease Biophysics Group is a creative, transdisciplinary group of engineers
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking an outstanding and highly motivated Research Fellow to join its internationally
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | 28 days ago
laboratory automation COMSOL Multiphysics, fluid mechanics, heat transfer, or mass transport CAD, additive manufacturing, 3D printing, or machining Bioreactors, microfluidics, or organ-on-chip systems
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a focus on Physical Activity and Health related content. You may also teach more broadly exercise physiology, sport and exercise psychology, and/or research methods. You will have a PhD in a related
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applications in automation and robotics. Key responsibilities include: • Design and development of origami-inspired soft actuators and pneumatic control systems using computer-aided design software such as
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
to the agency as part of NDA/BLA submissions. You will have access to unique research and training opportunities, ability to interact with top regulatory scientists and use state-of-the-art techniques. Learning
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 19 hours ago
analyses), patient monitoring algorithms (e.g., artificial intelligence/machine learning approaches) for disease detection and management, and physiologic closed-loop controlled devices. Research activities
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systems to rapidly traverse evolutionary landscapes Evolution of complex, multi-gene phenotypes Engineering plug-and-play selection systems for continuous evolution of diverse phenotypes Learn more at How