41 optimization-mathematical "https:" Postdoctoral positions at Northeastern University
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About the Opportunity Job Summary Working under the supervision of Professor Ken Duffy, the Department of Mathematics at Northeastern University is seeking a Postdoctoral Research Associate to work
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from This Employer https://main.hercjobs.org/jobs/21964477/postdoctoral-research-associate-mathematics Return to Search Results
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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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harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics. The postdoctoral researcher will be under the supervision of Prof. James
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, Bioinformatics, Computer Science, Mathematics, Statistics, or a related field, plus demonstrated research experience and peer-reviewed publications. KEY RESPONSIBILITIES & ACCOUNTABILITIES Conduct original
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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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). The Simons Collaboration is harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics. The postdoctoral researcher will be under
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. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
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, biochemical, and genetic studies to identify and characterize novel natural products with antibacterial activity. Develop and optimize screening assays for natural product discovery, including bioassay-guided
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energy theory, general relativity and mathematical physics, focusing on celestial holography and related topics, including conformal field theory, AdS/CFT, amplitudes and symmetries of asymptotically flat