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processes like lithosphere deformation, magmatism, erosion, sedimentation, fluid flow and associated mass and energy transport. This project aims at link our existing software packages to elucidate feedbacks
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place! Your role Work on project-relevant subjects from the last and current Release of the 3GPP core network standards, implement the features in free5GC and/or OpenAirInterface/srsRAN software
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context (i.e., different data source from human to technical, from knowledge to generative AI models). Collaborate with software engineers to integrate the management infrastructure within the Digital Twin
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. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior
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the foundations for reliable decision support and Monitoring, Reporting, and Verification (MRV) systems for reducing greenhouse gas emissions in Danish agriculture, particularly exploring conditions for the uptake
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metal bearing mudstones and carbonates Core logging and sample selection Place results in a 3D context e.g. using modelling software such as Leapfrog Develop a paragenesis from all stage of diagenesis
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
efficiently the processing results between processing facilities for FM training to the AI and HPC teams in the 3D-ABC consortium Develop the required software data management and processing interfaces Analyse
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
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candidate will have a strong background in bioinformatics, statistics, and computational biology, with demonstrated expertise in statistical and bioinformatics software. The ability to thrive in a