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on manufacturing living biosystems and engineering biomedical devices. We have two interactive research themes: 1) biomanufacturing and cryopreservation; 2) micro/nano-biomedical devices. We use principles and
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for research funding Knowledge of survey research methods, including questionnaire construction and sampling design principles Working knowledge of factor analytic methods, survival analysis, structural equation
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pathogen Yersinia pestis as well as studies with various oral pathogens. Studies involving the interactions of oral pathogens and human cells/tissues or biomaterials and human cells/tissues will also be
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neurology/neuroscience, aging/dementia, cancer, cardiology, ophthalmology, MSK, and diabetes. Einstein is nationally recognized for breaking new ground in research, training the next generation of research
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bioinformatics and computational biology Strong interest in immune-brain interactions and food allergy-related immunology Excellent communication skills and fluency in English A collaborative mindset and
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or worsening structural and clinical features and identify risk factors for decline among severely affected children with CZS. Dr. Kelleher’s research uses telehealth-based methods to assess early development
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Apply now Job no:501738 College / VP Area: College of Arts & Sciences Work type:Staff Location:Newark Categories:Research & Laboratory, Full Time Salary Structure CONTEXT OF THE JOB: The Shao Lab
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coordinate training and schedules for our undergraduate research team, submitting expense reports related to conferences and inventory management in the lab. Work interactions The RA will be closely supervised
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inventory management in the lab. Work interactions The RA will be closely supervised by the Principal Investigator (PI) and will work closely with the current Ph.D. student. The RA will collect data alongside
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cultures, or protein interactions is advantageous. Evidence of successful completion of a research project (publications). Ability to work independently; interpret, present, and discuss experimental data