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Field
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to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal
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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
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• Experience preparing geospatial assets for real-time or simulation environments • Background in distributed or high-performance computing systems Salary: $60,000.00 - $70,000.00 College or Department: Ubicquia
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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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, and building computational engines. The postdoctoral fellow will be hired for a one-year position with opportunity for renewal on a yearly basis assuming satisfactory performance. The positions include
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 6 days ago
Status Full-time Hours Per Week 35 Offer Starting Date 2 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/COM_Proj2025/i3S
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Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 6 Apr 2026 Is the job funded through the EU Research Framework Programme? Not
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, with emphasis on robustness, generalization, and performance in high-dimensional and noisy biological datasets. See this publication for additional details: https://doi.org/10.1111/ede.12449 . The second
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both the academia and the industry to lead and/or conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier
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Fellow of AAPM. Details about Dr. Ren’s profile can be found at the following link: https://www.medschool.umaryland.edu/profiles/Ren-Lei/ Equipment includes a computer cluster with high-end GPUs, and state