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and functional analysis of the Ryanodine Receptor (RyR). The selected candidate will bring advanced expertise in biochemical & molecular biology, fluorescence spectroscopy, and confocal imaging
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
activities Access to vocational training Social security coverage €2300 gross/month Selection process Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2026-09927 Work Location
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of small pixels and spectral requirements), interferometric techniques rely on comparing an interferogram imaged by the detector array with a simulated interferogram prior to detection. Through processing in
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 12 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Multisensor and Multiscale Measurement Techniques for Hydrodynamic
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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carry out experimental protocols adapted to various samples (biological, material). Ensure advanced data processing and analysis (spectra, images, mappings). Maintain, improve, and ensure the smooth
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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work under the supervision and mentorship of Piotr Slomka, PhD, Director, Innovation in Imaging, Professor in Division of Artificial Intelligence in Medicine and Principal Investigator, as part of a