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of cells. These data will then be used to validate our state-of-the-art techniques to predict the arrangements of cells in biological tissues, building on the CONDOR simulation technique (Hague, J. P. et al
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 5 days ago
trigger neuronal stress and degeneration during aging. By integrating data across in vitro and in vivo models, we aim to uncover molecular mechanisms that can lead to novel avenues for interventions
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for arbovirus surveillance in the wild through data collation and analyses, (4) conduct epidemiological modeling and analytics for data generated from the project and (4) provide regular technical support to
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A postdoctoral position is available for a highly motivated individual interested in the neural circuit mechanisms of schizophrenia. Our laboratory conducts behavioral and 2-photon laser-scanning
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20 Sep 2025 Job Information Organisation/Company University of Salzburg Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Austria Application Deadline 26 Oct 2025
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Posting Information Posting Details Department Genetics - 423501 Posting Open Date 10/10/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department SHP-Rehab & Movement Overview
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on solubility, dissolution kinetics, and microbial influences. Your work will refine global carbon cycle models, enhance CO₂ sequestration understanding, and position you at the forefront of ocean
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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of pathogen populations to antibiotic treatment across various time scales - compare the predictions of these models to epidemiological data available from public databases in various countries, particularly