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Field
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. The aim is to develop strategies for potential applications in information technology and quantum technology. A cleanroom for component processing and a variety of modern analysis methods are available
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of primary cardiomyocytes and analysis of contractility and calcium transients Establishment of in vivo disease models to test therapeutic efficacy of S100A1ct and other S100A1-derived peptides Interaction
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. The aim is to develop strategies for potential applications in information technology and quantum technology. A cleanroom for component processing and a variety of modern analysis methods are available
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distribution analysis with collaborators at the University of Ljubljana in Slovenia. Data analysis and manuscript preparation. Presenting results at international conferences. Training Master’s and Bachelor's
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location: Geesthacht (near Hamburg) Application deadline: June 22nd , 2025 Hydrogen economy promises a source of clean energy, but it requires addressing critical issues associated with the assessment
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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elucidate the molecular makeup and phenotypes of these tumors. The advertised project focuses on a comprehensive analysis of the mechanisms by which bacterial species and their metabolites impact on mutation
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profile Completed university degree (Master’s) in biology, geosciences or related areas Experience in morphology, neuroanatomy, and paleontology of turtles is desired Expertise in the analysis of digital CT
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Are you a physicist, photonics expert, or laser enthusiast eager to tackle real-world problems? Join the EU MSCA Joint doctoral network PROTEMIC (“Integrated Spectroscopy for Protein Analysis Using