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, data acquisition hardware. Data Acquisition: Execute complex experiments involving high-bandwidth electrical measurements and advanced microscopy imaging (i.e., AFM and SEM) Signal Processing: Develop
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, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics Background in brain tumor biology Knowledge
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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the College of Engineering at the University of Texas at Arlington invites applications for a Post-Doctoral Research Associate. We are seeking a highly motivated postdoctoral candidate with experience in cancer
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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The Department of Materials Science and Engineering at the University of Virginia is accepting applications for a postdoctoral research associate position that focuses on transmission electron
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
role responsible for generating spatial transcriptomic and proteomic optical imaging data of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab
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level courses in Computer Engineering, Computer Science, cybersecurity, or any related areas • At least one year of Postdoctoral experience especially in the following areas: cybersecurity, computer and
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programme. Further information about the IAC's research programme, its Observatories and the 10.4m GTC is available at the IAC's web page: https://www.iac.es/en Tasks:The successful candidate will pursue
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural