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Field
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. The successful candidate should have experience with advanced astrophysical data analysis in the context of multi-mission and multi-wavelength observations including e.g., Fermi-LAT and imaging X-ray
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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Course language English and German Current information Application deadlines: 15 March and 15 September Financial support No Structured research and supervision Yes Research training / discussion Yes
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development for lidar control. Data evaluation is
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networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary
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learning, probability theory, Real and functional analysis, Information-based complexity Appl Deadline: 2026/01/15 11:59PM (posted 2025/12/04, listed until 2026/01/15) Position Description: Position
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 1 month ago
, analyzing molecular systems, and interpreting chemical data. The project aims at developing a sustainable workflow to design new and 'greener' catalysts and appropriate solvent systems. The role involves
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the Excellence Cluster “REBIRTH” in 2007), Auditory Sciences (from the Excellence Cluster "Hearing4all" in 2013), Epidemiology (since 2013) and Biomedical Data Science (BIOMEDAS since 2020). In addition, we offer