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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
Australian National University, Mathematical Sciences Institute Position ID: ANU-POSTDOC [#27805, 560642] Position Title: Position Type: Postdoctoral Position Location: Canberra, Australian Capital
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scientific journals and at international conferences. Job Requirements: Ph.D. in Electrical Engineering, Physics, Optical Engineering or other related fields. Solid Mathematical skills. Hands-on experience in
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Digitally-Driven Garment Manufacture and Innovation Fashion Business Technology Functional Materials Fundamental Mathematics Research Mathematical Foundations of AI and Data Science, Mathematics with
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internationally outstanding research in the life sciences. Project description We seek two highly motivated postdoctoral researchers to develop new mathematical and computational methods for modeling developmental
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] Subject Areas: high-dimenstional statistics, Machine Learning theory, Mathematical foundations of AI Appl Deadline: none (posted 2026/03/06 05:00 AM UnitedKingdomTime) Position Description: Apply Position
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 2 days ago
to address a central challenge: how cells self-organize to form complex living systems. By integrating molecular and cell biology with quantitative physics, mathematics, and artificial intelligence
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About the Opportunity The Department of Mathematics invites applications for Zelevinsky Postdoctoral Fellows (ZPF) for the Fall semester of 2026. The Zelevinsky Postdoctoral Fellow appointments have
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relevant subject, or significant industrial experience directly related to mechanical engineering or mathematical modelling of engineering relevant systems is also essential. What we offer: A friendly
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high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI. The appointment will be for up to two years with annual renewal based on satisfactory performance