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both materials within a circular economy framework. Main responsibilities: Conduct a comprehensive literature review on potash brine management, phosphogypsum valorization, and related physicochemical
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LLMs. The candidate will apply their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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at the University of Oregon may be found by visiting the Institute's website at: http://materialscience.uoregon.edu. Position Summary The Materials Science Institute seeks qualified applicants for its open research
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, PhD, at Carnegie Mellon University is seeking a postdoctoral associate to study sensory-guided behavior in mice. The Hong Lab (www.thehonglab.com ) studies neural mechanisms underlying tactile and multi
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observations, atmospheric chemistry models, and physics-informed deep learning, validated through field campaigns. Key Responsibilities Conduct atmospheric chemistry simulations Develop deep learning models
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variety of in vivo techniques to investigate stem cell behavior in homeostasis, clonal expansions and tumorigenesis. We are looking for a highly motivated and independent postdoc to join an ERC-funded
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is expected to conduct knowledge syntheses on how agroecological measures affect biodiversity and ecosystem services, as well as on existing tools for modeling such effects. In collaboration with
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. The successful candidate will be joining the Atomic Quantum Optics group led by Prof. Dr. Morgan Mitchell and the tasks and responsibilities will be: Conduct experimental research in the following
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closely with Environmental Science and Psychology staff and the Senior Postdoctoral Researcher. The project aims to determine how to motivate community decision-making and collective behavioural