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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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intelligently to make learning more sustainable and efficient, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer architectures. We invite
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio...
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. Applications are invited for this Postdoctoral Research Associate post. Funded by UKRI EPSRC, the project "CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research" aims
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associated sediments. A particular emphasis will be placed on the distribution, speciation, and enrichment mechanisms of strategically important trace elements (e.g., rare earth elements, uranium) within
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% of the European population. While it was discovered 15 years ago, the effect of this mutation is still not understood at the molecular and protein level. We suspect the mutation affects distribution of the a5
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volumes in frozen cell sections, providing unprecedented maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial
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data from laboratory experiments to create a database of amphibian immune performance to be used for building and validating climate dependent mechanistic species distribution models. The applicant will
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instrument will have many applications; notably, it will allow the spectroscopic characterization of nanoscale volumes in frozen cell sections, providing unprecedented maps of the distributions of small
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distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis and to propose some non-Gaussian