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of Research Associate/Research Fellow will focus on developing advanced high throughput phenotyping tools for assessing the performance of genotypes under abiotic and biotic stresses that occur in indoor
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to develop robust, scalable data analysis and predictive classification workflows for high-performance computing environments. Contribute to JGI strategic milestones related to AI-driven functional genomics
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) Application Deadline 26 Apr 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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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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representative to the Board of Advisors, alumni, donors, and industry leaders. Build and sustain high-level partnerships across journalism, business, and philanthropy. Represent the program in senior-level
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. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high-dimensional immunological and clinical datasets generated
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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between the college and key university partners to support consistent, high‑quality graduate program operations. Duties and Responsibilities: Leads college‑wide graduate program management and operations
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
-time Hours Per Week 40 Offer Starting Date 9 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026/0068 Is the Job related to staff
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to computational materials, mechanics, or related fields Proven ability to work collaboratively in an interdisciplinary research environment and mentor graduate students. Experience with high-performance computing