43 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Northeastern University
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating
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and Brain Health, we interact and collaborate closely with other researchers who use a broad set of interventionist approaches to benefit cognitive and brain health and promote well-being across
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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accomplishments in data analysis and in detector hardware or software. For further details about the position, please contact Prof. Bonilla Castro . Application should include: CV Statement of research interests
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closely with other researchers who use a broad set of interventionist approaches to benefit cognitive and brain health and promote well-being across the lifespan. With a mixture of federally funded projects
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heterostructures, and to explore their applications in high-frequency electronics and quantum information science. QUALIFICATIONS PhD in Physics or a related field is required. Candidates should have hands
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About the Opportunity The D’Amore-McKim School of Business at Northeastern University invites applications for DATA Initiative postdoctoral research associate position. This is a full-time, benefits
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling