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) Application Deadline 9 May 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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. With a vision of sustainable future through materials science, all early-stage researchers recruited into the WISE program will be a part of the WISE Research School (https://wise-materials.org/research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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3 Apr 2026 Job Information Organisation/Company Leiden University Research Field Computer science » Database management Computer science » Programming Language sciences » Linguistics Researcher
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respectful workplace – in how we treat one another, work together, and measure success. Required Qualifications: PhD in Nuclear engineering, computer science, applied mathematics, or a related field completed
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and plasticity of acetogenic bacteria at the systems-level Do you have a passion and vision for developing
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for the candidate The candidate will not only deepen and enrich their expertise in AI and computer vision, but also become familiar with using AI to handle curvilinear features which are ubiquitous in many domains