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Field
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experiments and fieldwork in the following field: Green chemical; low-carbon energy; Environmental remediation and waste treatment To conduct literature and database searches and carry out analyses and/or tests
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: • Develop real-time optimization algorithms; • Model multi-vector energy-water-hydrogen systems; • Support the development of digital twins; • Test the algorithms using operational data; • Prepare a technical
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
vitro and In vivo modeling and learn about the advantages and limitations of the different models. You will be encouraged to use state of the art technologies to analyze complex data and to engage in
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to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research
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acoustic metamaterial solutions, including porous materials (porous concrete); - support in testing tools and numerical models for predicting the performance of acoustic metamaterials; - development
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postdoctoral fellow in Spectroscopy You will conduct cutting-edge research at the intersection of BioImaging, BioOptics, and seaweed ecology for species recognition with collection material. You will develop a
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or neuromodulators, peripheral nerve surgery, neural interfacing models Track record of disseminating research through impactful publications and presentations (at least three first author publications) Desire to work
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, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited to: i. Material and component testing ii. Structural
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and animal models of the disease. The selected candidate will also be responsible for analyzing scientific data, writing manuscripts for publication, and helping with grant proposals to agencies such as
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opportunities within the company. Responsibilities Develop and implement advanced computational and machine learning strategies, including deep learning, graph-based methods, and probabilistic modeling