44 phd-position-cloud-computing Postdoctoral research jobs at Northeastern University
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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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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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associate will participate in project team meetings and other seminars and will be actively engaged in the progress of research. * This position is a fully remote opportunity and there will be no requirement
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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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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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, nonprofit, or government partners and actively engaging these individuals in the research program. Potential additional responsibilities, depending on position seniority, include assisting in laboratory
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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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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appointment is for 12 months with the opportunity to extend the position for up to 24 months, dependent on funding. Application Materials In a single PDF: cover letter with three references, CV, two examples
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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