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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
to, the following: Developing scientific codes to process satellite data Maintaining data and code repositories lnvestigate the effect of waves on the effect of radiation belt electrons using existing codes and
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that can be used by engineers. Your responsibilities: Maintain data and code repositories Develop real-time visualisation on the website Develop various programming tools for scientific codes and data
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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-coding RNA (lncRNA) genes in plant genomes. The Knut and Alice Wallenberg Foundation (KAW) funds this two-year postdoctoral scholarship. The scholarship amounts to 348 000 SEK per year and is not subject
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extremes Reference code: 50141621_2 ? 2025/KS 2 Commencement date: as soon as possible Work location: Geesthacht Application deadline: June 18th, 2025 The department of Climate Extremes and Impacts
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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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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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities