45 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Northeastern University in United States
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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(5%) REQUIRED QUALIFICATIONS Degree – Minimum of PhD degree in Physics, Biology, Bioengineering, or Chemistry is required, or in a field that is relatable to the Nanoscale Biophysics Laboratory’s
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-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions
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engineering, or a related field by the time of starting this position. Significant background in chemical synthesis and characterization techniques (e.g., NMR, IR, and X-ray Diffraction). Ability to work both
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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and haptics feedback in real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have
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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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, 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
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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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their importance, the majority cannot be genetically engineered, and even those that can are notoriously difficult to work with. The postdoctoral associate will develop fundamentally new approaches for genetically