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add a cover with a short paragraph explaining your contributions. Possible letters of recommendation Please note that you may apply prior to obtaining your PhD degree but cannot begin the position
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position within a Research Infrastructure? No Offer Description Full time, Two (2) Year fixed term opportunity. Located at the Forest Lodge Building on the Camperdown Campus Advance AI-driven decision-making
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-controlled devices, etc.). The primary function of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http
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of Engineering and Architecture → Department: EA17 - Toegepaste Fysica → Occupancy rate: 100% → Number of positions: 1 → Type of employment: Contract of limited duration → Term of assignment: 1 year → Wage
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Okinawa Institute of Science and Technology, Analysis and Partial Differential Equations Unit Position ID: 3260 -POSTDOC [#26877] Position Title: Position Type: Postdoctoral Position Location: Onna
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your own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another
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, as well as architecture, industrial management, urban planning, history and philosophy. Read more here Type of employment: Temporary position Contract type: Full time First day of employment: According
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 1 day ago
Application Instructions: Apply via Interfolio at: https://apply.interfolio.com/172719 Department: Physics Anticipated Start Date: February 2, 2026 About the Position: The Quantum Thermodynamics Group in
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Okinawa Institute of Science and Technology, Pure Mathematics Position ID: OIST -PDLS2026 [#26851] Position Title: Position Type: Postdoctoral Position Location: Okinawa, Japan [map ] Subject
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large