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readiness levels (TRLs) as far as possible Present your work at conferences and in scientific publications About you: Ph.D. degree in physics, optics or related fields At least three years of laser laboratory
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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in a research area related to education, workforce development, health, economics, or a related field. Key Duties and Responsibilities Research Preparation and Communication. Produce timely and high
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Computer Science at the Nano-Optics and Advanced Health-Sensing (NOAHS) Lab by focusing on heterogeneous integration of transparent conductive oxides (TCOs) with silicon photonics, which will be primarily
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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College of Engineering and Computer Science: The UCF College of Engineering and Computer Science is among the nation's largest producers of engineering and technology workforce talent, and we
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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
high-impact scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, Remote
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab