36 mathematical-analysis-math-physics Postdoctoral positions at Northeastern University
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, dissemination of results at conferences and in research publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis, along with
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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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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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. 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
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of a research publication (at least one that has completed the peer review process) Position Type Research Additional Information Northeastern University considers factors such as candidate work
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technologies and their applications in biological research. Data analysis techniques and bioinformatics. Current developments in immunotherapy and precision medicine. Ability to: Design and conduct experiments
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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
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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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of researchers (including social epidemiologists, other epidemiologists and data scientists, and policy researchers) and will be involved in all aspects of the research process. Opportunities will include
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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