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Field
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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operate experimental facilities (electrolysis, PCM, BESS, etc.) and develop tools related to PtX testing, modelling, control, and energy system integration Co-supervise BSc, MSc, and PhD students and
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Sciences, Atmospheric Sciences, Geological Sciences Experience analyzing satellite data and model output (e.g., Landsat, Sentinel, MODIS). Experience processing satellite data in cloud computing environments
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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learning platforms are preferred; Experience with computing in cloud environments is a strong plus; some experience with high performance computing and database administration is desired but not required. A
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. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
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shell scripting, cluster or cloud computing infrastructure (AWS, GCP) is desirable. • Experience working with mass spectrometry-based proteomics data and familiarity with major protein databases (e.g