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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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extramurally funded research annually, lead several T32s, and work across the full spectrum of translational research. The department has vibrant educational programs at both the MPH and PhD level with a focus
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Department: https://datascience.ucsd.edu/ School: https://scids.ucsd.edu/ Qualifications Basic qualifications (required at time of application) *PhD or equivalent degree, or advancement to candidacy in Data
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especially the contribution of Veṅkaṭanātha to philosophy of religion. Further information can be found here: https://elisafreschi.com Your future tasks: We expect you to actively participate in research
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control software development, and the possibility to implement the quantum sensing unit for temperature measurements into a quantum ion trap setup developed at our collaborators site at University
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: Standardization of source-based directed connectivity analysis using large EEG/MEG datasets. Analysis of intrinsic brain networks associated with cognitive control. Task description: designing and creating EEG/MEG
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of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA
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goal of the PhD is to attempt ESR-STM on magnetic phtalocyanines molecules adsorbed on superconducting NbSe2. MnPc has already shown coexisting Yu-Shiba-Rusinov states and spin-flip excitations on NbSe2
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transparent films; publish scientific papers and present results at international conferences. Where to apply Website https://www.academictransfer.com/en/jobs/362262/phd-in-one-way-transparent-liqu
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layer for gene expression control and numerous other processes in the cell. In this context, individual and combinatorial modifications guide spatiotemporal recruitment of regulatory factors to specific