30 computational-material-science-"https:" Postdoctoral positions at Northeastern University
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Number: 7269759 Postdoctoral Research Associate-1 About the Opportunity Job Summary The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks enthusiastic postdoctoral
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electrochemical tests Knowledge of analytical chemistry tools such as Nuclear Magnetic Resonance (NMR), Gas Chromatography (GC), High-Performance Liquid Chromatography (HPLC), and Mass Spectrometry (MS) Proficiency
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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disease areas. Preference will be given to applicants with prior training in Computer Science, Computational Biology, Computational Chemistry, and Computational Biophysics. Extensive training opportunities
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available in Dr. Okeke's research lab at the Department of Biology at Northeastern University. We use animal models of chronic stress to investigate the role of the immune system in psychiatric diseases. Our
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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, and managing all professional and technical staff; and supervising students. Qualifications: Mandatory: PhD in Computer Science or similar field; At least one (1) publications as first/second author in
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from