43 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Northeastern University
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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harnessing emerging technologies to advance human potential and solve the challenges of the future. Powered by experience-driven teaching, learning and research, CAMD believes that the fields of design
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, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with grant writing. Position Type Research Additional
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conduct grant research; as normally acquired through a PhD in structural engineering or architecture with a focus in computation. Key Responsibilities & Accountabilities (40%) Work with supervisor
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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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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with grant writing. Position Type Research Additional
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work in the group, checkout out the group website. https://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering
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/Administrative Internal Number: 6140641 Postdoctoral Research Associate About the Opportunity Job Summary The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a
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and responsibilities for this position may include, but are not limited to: Develop new electronic structure theory to enable accurate kinetic modeling in heterogeneous catalysis. Apply the developed