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Field
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employment, skills development and student support, UC is a place where you can grow ideas, contribute knowledge, and make a difference. About the role: Are you passionate about advancing research
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Works Network to strengthen the wider evaluation ecosystem and promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role We
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. The University operates hybrid working but it is expected you will spend the majority of your time on site. The researcher will support the MDC in delivering impactful research and knowledge mobilisation
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modifications (PTMs) and will use advanced in vitro and animal models for translational studies to develop knowledge based nutritional intervention strategies for hub molecules. The hub molecules of life
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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Engineering or related topic. Working experience and knowledge of nonlinear numerical modelling of structure and infrastructure exposed to multi-hazards conditions Working experience of advanced programming
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resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven methods
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including experience of working on clinical trials and other large research projects Experience and/or knowledge of techniques and methods including multi-level or linear mixed effects modelling to analyse
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) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5, Franka Emika