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. This position is part of an ambitious project aiming to harness the potential of polyploidy to improve crop performance, stress resilience, and yield stability. Excellent terms and conditions in an outstanding
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and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods. Experience working with large-scale datasets and high-performance computing
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computational model outputs and evaluating model performance using appropriate quantitative methods. We expect you have the ability and willingness to collaborate closely with agent-based modellers, experimental
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment This is a full
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including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance. Collaborate with researchers and industrial partners, contribute
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4 Sep 2026 Job Information Organisation/Company MUNSTER TECHNOLOGICAL UNIVERSITY Department Human Resources Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions
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and high-performance computing environments; • A reasonable knowledge of immunology is also desirable; • It is also desirable for the candidate to have a strong interest in modeling gene regulatory
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. The performance of such batteries hinges on the solid booster formulation, morphology, and the efficiency of charge transfer between mediator and solid under continuous flow. Your tasks Your task is to develop
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application