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Field
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knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C++ and Python. Demonstrated ability
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
to £46,049 with potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to 3 years Closing date: 15th July 2026 UK and International Travel may be required for this role
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the opportunity to work closely with our innovative biopharmaceutical industry partners, while engaging with Northeastern University faculty in professional and career development, teaching, service
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society. For more details, please view https://www.ntu.edu.sg/ase . We are seeking a Research Fellow to join the research team led by Nanyang Assistant Professor Feng Tao in computational ecology. The role
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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on hardware and software co-design for systems targeting energy-efficient chips. The role involves developing, evaluating, and optimizing system-level techniques across hardware architecture, software stack
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Optimization of formulation for polymer synthesis and functionalization for actuators fabrication Contribute to ongoing soft robotics research Collaborate with faculty and other researchers on interdisciplinary
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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studies. Develop, maintain, and optimize computational pipelines for the integration and analysis of multimodal molecular and clinical datasets, including data generated from patient tissue specimens and