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of promising nanoagents. The objective of this doctoral project is to develop an innovative method for sensing and quantifying the hotspot effect in aqueous suspensions of optically absorbing nanoagents, without
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generation of computer scientists for success. For more information, please visit https://www.csc.ncsu.edu/ Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy exclusive perks
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junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
autonomous systems. Support development, testing, and evaluation of machine learning and autonomy algorithms. Assist with implementation of software frameworks and data processing pipelines. Provide technical
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developing prototype systems and algorithms • Experience with MRI and/or fMRI data (human data preferred) • Experience with high resolution and high field MRI and/or fMRI • Excellent verbal and written
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time series
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Neurobiological discoveries have been fueled in recent years by rapid development of optical imaging tools. Over the last decade the Laboratory of Neurotechnology and Biophysics has developed a wide portfolio of
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research strand 3 «Addressing key methodological challenges». The positions are tied to CREATE’s strand 3. Strand 3 aims to develop novel methods and statistical software that are tailor-made to the research