53 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Northeastern University
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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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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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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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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on projects that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key Responsibilities
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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control