38 mathematical-analysis-math-physics Postdoctoral positions at Northeastern University
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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and
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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Aug-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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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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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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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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, verbal, and written communication skills, meticulous attention to detail, and proficiency in HCI research methodology, as well as quantitative and qualitative data analysis. Preference will be given
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publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis, along with excellent management and communication skills
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researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics