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28 Oct 2025 Job Information Organisation/Company Łukasiewicz Research Network - Krakow Institute of Technology Department HR Research Field Other Researcher Profile Recognised Researcher (R2
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academic and industry partners. Your profile The candidate is expected to have a PhD in Computer Science, Electrical Engineering, or Quantum Technologies, with a focus on software-defined networks, advanced
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computer science, data science, design, and ethics, and to contribute to high-impact research that shapes the development of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in
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Emirates Application Deadline 13 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Positions Country Germany Application Deadline 30 Nov 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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epidemiological findings Contribute to grant writing and assist in project management and partner coordination Your qualifications PhD in Immunology, Virology, Molecular Biology, Epidemiology, or a related field
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
offers, free membership in UKBfit • Employer benefits: preferential offers for employees (corporate benefits) Requirements: • A PhD in Bioinformatics, Computational Biology, Systems Biology, or a related
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computational models and collaborate closely with lab teams. Publish research findings, present at conferences, and support PhD students. Help shape new research proposals and assist in securing funding. Your
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Deadline 6 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage