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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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of termination, with a major focus on quality control processes, including mRNA surveillance and ribosome-associated quality control. Required qualifications include a Ph.D. in Molecular Biology/Molecular
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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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) for a Data-Driven Energy Transition (D2ET). This initiative aims at supportingLuxembourg's energy transition through a nation-wide digital platform, built together with public and private stakeholders in
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Completed doctoral degree in remote sensing, signal processing, computer science, or other closely related fields Experience in handling, processing, and analysing large amount of data, especially large-scale
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The Department of Animal and Veterinary Sciences calls for applications for a 4-year position as a postdoctoral researcher in processing and development of new sustainable feed sources. The position
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signals and initiate downstream responses, with a particular emphasis on the mechanistic basis of activation and small molecule modulation. We investigate pathways involving cytosolic DNA sensors
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global