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. The candidate will develop multidisciplinary research bridging tissue mechanics and transcriptomics, with the goal of understanding how mechanical signals guide cancer cell plasticity. The project will involve
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contribute to a project involving the development of therapeutic molecules. Description of the activities Ensure the culture of adherent cell lines (BS2) Perform cytotoxicity tests Perform IP1 (inositol
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Safe Patient Handling & Mobility (SPHM)- Program Assistant Hiring Department: University Health Services Location: Chicago, IL USA Requisition ID: 1042314 FTE: 0.5 Work Schedule: M-F 7:00 a.m.–3
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biophysics are especially encouraged to apply. Familiarity with live-cell microscopy or yeast cell biology is helpful but not essential. Please attach the following electronic documents to the application
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The Weavers Group at the University of Bristol is recruiting a Postdoctoral Research Associate, to join a Wellcome Trust funded programme aimed at uncovering the dynamic cell biology supporting
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Candidates Department EHH BSOM Anatomy and Cell Biology Department Homepage https://anatomy-cellbiology.ecu.edu Advertising Department ANATOMY & CELL BIOLOGY Division ECU Health/BSOM Classification Title
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Frequency of calls: 12 International mobility required: no Website for additional job details https://titulus-unimore.cineca.it/albo/ Work Location(s) Number of offers available1Company
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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Postdoc Appointment Term: Initial appointment of 1 year, with possibility of renewal for an additional 1-2 years. Appointment Start Date: Flexible Group or Departmental Website: https
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
for the identification and detection of mobile devices based on their signal emissions. An initial framework has already been developed by the team, and both the source code and datasets are openly accessible