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Centers: Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediate Group or Departmental Website: https://med.stanford.edu/rabinovitchbland (link is
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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell
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at proposing a revolutionary approach of a converged wireless-optical network architecture that makes reality an efficient 6G Cell-Free (CF)-based access network for high-density and high coverage deployments
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Tissue organization is achieved by the genome encoding both cell type
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
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of the optical localization system for mobile robots in dynamic and unstructured environments. Main activities • Development of an optical localization method for mobile robots operating in indoor and/or outdoor
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: multi-omics (e.g., RNA-seq, DNA methylation, proteomics), single-cell technologies (CyTOF, scRNA-seq), structural biology and computational immunology approaches. The successful candidate will support the
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3215-YOHBEL-023
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Job id: 141665. Salary: £39,523.16 per annum, plus Mobility allowance of £4,869.59 per annum. Posted: 25 March 2026. Closing date: 04 May 2026. Business unit: IoPPN. Department: Forensic