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of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing
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(R2) Positions Postdoc Positions Application Deadline 1 Jun 2026 - 23:55 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 30 Apr 2026
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physics Physics » Thermodynamics Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 19 Apr 2026 - 23:59 (Europe/Brussels
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, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will build AI-driven robotic systems for high-throughput brain imaging and behavioral
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3 Mar 2026 Job Information Organisation/Company National Centre for Nuclear Research Research Field Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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the guidance of a senior lab member, this role will be involved in experiments related to mosquito behavior, sensory perception (chemosensation, mechanosensation), imaging techniques, and gene expression
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Seol How to Apply A complete application consists of: An application, including academic history, work
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all aspects of the MRI imaging functions, and providing scientific training to MRI users regarding data acquisition, processing and analysis. Support staff, including an experienced technical director
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committed to fostering a collaborative and innovative research environment and works with large-scale imaging and sequencing datasets. We offer a 2-year postdoctoral position with system administration
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility. Conduct