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environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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protocols. In particular technologies which can eventually be deployed either in fiber or space. Such technologies will also be evaluated for transport of quantum images. Share this opening! Use the following
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, Functional Analysis, Calculus of Variations and Optimal Control, Optimization, Mathematical Biosciences and Quantum Biology. Some of the current research projects in Applied Mathematics include laser ablation
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the University of São Paulo's Engineering School (POLI-USP) in São Paulo city, Brazil. Requirements to fill to position: • PhD in fields related to Computing, Applied Mathematics, Physics, Statistics, Electrical
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] Subject Area: All major areas of Pure and Applied Mathematics Appl Deadline: 2025/12/15 11:59PM (posted 2025/04/06, listed until 2025/12/15) Position Description: Apply Position Description The School
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New Jersey Institute of Technology, Mathematical Sciences Position ID: 965 -POSTDOC8214 [#26824, req8214] Position Title: Position Type: Postdoctoral Position Location: Newark, New Jersey 07102
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, and easy to extend and develop. REQUIRED: Ph.D., in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire
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Zhejiang University of Technology, School of Mathematical Sciences Position ID: 3433 -PD [#26381] Position Title: Position Type: Postdoctoral Position Location: Hangzhou, Zhejiang 310023, China
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
extend and develop. Job Requirements REQUIRED: Ph.D., in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with