34 phd-in-mathematical-modelling-population Postdoctoral positions at Northeastern University
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About the Opportunity Job Summary The Wang Lab seeks to advance our understanding of chloroplast function using the model unicellular microalga Chlamydomonas reinhardtii. The research in Wang lab
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. Postdocs also have opportunities to work with Northeastern’s centers for student and faculty advancement, including the Writing Center, PhD Network, Digital Integration Teaching Initiative, Center
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) Provide meticulous documentation, analysis, and summarization of results (including digital/photographic documentation and computational/modeling/analysis as needed) Assist in project management and co
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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population. The postdoctoral researcher is expected to take a lead role in data analyses related to the project. Successful candidates should have a strong background in fMRI data collection and analysis
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling