46 developer-"https:" "https:" "embl" Postdoctoral positions at Northeastern University
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple
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About the Opportunity Summary: Research involves developing and implementing material models to predict microstructure, phase change and residual stress in processes in high energy processes in
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
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research of interdisciplinary nature involving immunology, nutritional sciences and biochemistry. · Prepare and write research papers, presentations, grant proposals, etc. · Assist with laboratory management
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, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive
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of interdisciplinary nature involving immunology, molecular biology and neuroscience. Prepare and write research papers, presentations, grant proposals, etc. Assist with laboratory management and training of graduate
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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microfluidics channels experimentally. The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune